Is the Senior Data Architect (Data Foundation & AI Data Readiness) position at Phase2 fully remote?

Yes, this Senior Data Architect (Data Foundation & AI Data Readiness) position at Phase2 is a remote position. The role is available for candidates in United States.

What benefits does Phase2 offer for this position?

Phase2 offers the following benefits: Dental Insurance, Vision Insurance, Life Insurance, Wellness Programs, Parental Leave.

Senior Data Architect (Data Foundation & AI Data Readiness) at Phase2

United States

$132k - $155k

<div><body><h2 style='font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;'>About the role</h2>Enterprises are increasingly looking to modernize their data ecosystems, improve the reliability and accessibility of their data, and prepare for AI-driven solutions. Often, the biggest challenges aren't the applications themselves, but the underlying data architecture, integration, and quality needed to support them. Every client environment is different, requiring someone who can quickly diagnose complex data challenges and architect practical solutions that deliver measurable business value. You will shape how enterprise data becomes usable for analytics, AI-assisted experiences, workflows, and other use cases across client organizations. You'll architect and help build scalable data solutions while defining practical standards and patterns that make client data easier to find, understand, use, and govern. You'll collaborate with client data owners and engineering teams to deliver prototypes and production-ready capabilities, demonstrating progress through measurable outcomes and clear executive communication. Beyond delivering on individual client engagements, you'll help establish reusable data architecture, engineering, and AI-readiness frameworks that support the growth of this emerging capability at Phase2.<h2 style='font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;'>What You'll Do</h2><h3 style='font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;'>Client Leadership </h3><ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Actively help pitch and sell this capability alongside sales and account teams</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Lead technical client conversations, diagnosing underlying data challenges and translating business needs into practical solutions rather than simply executing what's requested</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Make the business case for foundational data work independent of any single AI use case, including quantifying cost avoidance, reporting-time savings, and eliminated duplicate work so clients see the value even before, or without, an AI initiative</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Establish measurable outcomes and progress indicators that demonstrate the value of technical improvements, and communicate results through regular demos and executive updates</li></ul><h3 style='font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;'>Strategy and Architecture</h3><ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Collaborate with Phase2's senior technical leaders to establish reusable architectures, technical standards, and delivery approaches that help develop and scale our emerging enterprise data capabilities</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Partner with the Marketing Technology Strategists and Data & Insights team to align semantic standards and warehouse architecture with domain-specific marketing data work (CDP, attribution, activation)</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Establish standards for semantic and context layers to improve consistency, interpretability, and reuse across a client's data ecosystem</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Pinpoint and resolve semantic and contextual gaps that limit data consistency, accessibility, and reliability, collaborating with client data owners to establish trusted, reusable data foundations across systems, teams, and AI applications</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Design and deliver metadata, lineage, and data quality practices that improve discoverability and reduce ambiguity in AI-driven analysis</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Define scalable data access and integration patterns that support analytics, AI applications, copilots, and agents</li></ul><h3 style='font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;'>Implementation and Delivery</h3><ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Architect, build, and optimize data platforms and pipelines, including data ingestion, integration, transformation, modeling, and storage, with attention to scalability, performance, reliability, and cost</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Design and deliver proofs of concept and production-ready data solutions across diverse client environments, from targeted analytics migrations to complex, large-scale data processing and AI-enabled applications</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Collaborate with software engineers and other technical specialists to implement solutions, establish reusable engineering patterns, and leverage AI-assisted development tools where appropriate</li></ul><h3 style='font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:21pt;font-weight:600;letter-spacing:0.25px;margin-top:14px;margin-bottom:4px;padding-left:0px;'>Quality and Governance</h3><ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Establish data quality, validation, and testing practices that ensure solutions are reliable, accurate, and fit for their intended purpose, including AI use cases where applicable</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Define technical standards and review the quality of data solutions developed by engineers and AI-assisted tooling, ensuring consistency, maintainability, and correctness</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Incorporate appropriate documentation, metadata, lineage, and governance practices into solutions to support security, compliance, auditability, and responsible data use</li></ul><h2 style='font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;'>What You’ll Need</h2><ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">8+ years of experience in data engineering, data architecture, or a closely related discipline (e.g., analytics engineering, data platform engineering, or MDM architecture)</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Demonstrated ability to establish and apply data quality, testing, and validation practices that ensure the accuracy and reliability of data solutions</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Ability to prototype and build solutions across the data and application stack to accelerate learning and delivery</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Demonstrated experience architecting and delivering production data platforms and solutions, including data integration, transformation, modeling, and storage, with sound judgment around scalability, performance, reliability, and cost</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Fluency in SQL and data modeling, with strong judgment around modeling approaches (e.g., Kimball, Data Vault) and when to apply them</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">A demonstrated habit of tracing a client complaint (a wrong report, an unreliable AI answer, a stalled migration) back to its actual data root cause</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Experience navigating complex stakeholder environments, balancing technical, business, security, and compliance considerations to build alignment around solutions</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Strong executive communication and storytelling skills, including delivering progress against the scorecards/KPIs you define and influencing roadmaps</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Comfortable delivering visible progress in short cycles, showing a client tangible movement every week or two rather than asking them to wait months for a finished build</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">A generalist orientation and comfort with ambiguity; ability to own a client conversation on data migration one week and a large-scale pipeline the next</li></ul><h2 style='font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;'>What Would Be Nice to Have</h2><ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Experience supporting regulatory audits or compliance reviews in regulated industries (financial services, healthcare, or similar)</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Experience bridging data product management and AI solution delivery</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Experience in metadata management and data catalog ecosystems, including improving discoverability and interpretability</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Full-stack engineering experience to support rapid prototyping and experimentation</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Experience building or governing controls and metrics layers for enterprise analytics at scale</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Experience directing AI agents/agentic tooling as a delivery mechanism, rather than only using them as personal productivity tools</li></ul><h2 style='font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;'>What You’ll Get</h2><ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">The chance to make a real impact, helping millions of people per year.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">To work from wherever you thrive best. We’re a remote-first team built on trust, flexibility, and outcomes.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">A competitive compensation package that considers various factors.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">A comprehensive benefits package that includes medical, dental, vision, life insurance, disability coverage, and supplemental insurance.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Our fun and interactive wellness program offers rewards for participation.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">A 401(k) with a 3% employer contribution–no match required and 100% vested after just 90 days.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">You’ll start with 16 paid vacation days, 4 personal days, and 1 volunteer day each year. Vacation and personal time increase with your tenure, recognizing your continued contributions.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Up to 12 weeks of fully paid leave for birthing parents and up to 6 weeks of fully paid bonding leave, based on your tenure. This includes support for adoption and foster placement, along with the option to extend time off through additional unpaid leave.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">A $500 stipend to personalize and equip your home workspace for success.</li></ul> <h2 style='font-family:"Basel Grotesk",Arial,sans-serif;line-height:1.6;font-size:29pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;'>What the Environment Looks Like</h2>Physical Demands<ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Frequently remain in a stationary position, often standing or sitting for prolonged periods of time.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Occasional adjusting or moving of light objects up to 20 pounds in all directions.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Continuous communication on live video chats, calls, and through emails and messaging platforms for the purpose of exchanging information.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Continuous repetitive movements that may include the wrists, hands, and/or fingers.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Travel, sometimes frequent, is expected.</li></ul>Mental Demands<ul style='font-family:"Basel Grotesk",Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;'><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Comprehension - Must continuously be able to understand direction and adhere to established procedures. Must also be able to gather information from clients and employees and synthesize this information in a meaningful way. May also be responsible for making improvements or recommendations to existing procedures.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Organization - Must continuously be able to gather and classify information, store information learned from conversations and communications, and then be and be able to quickly recall, interpret, and explain information. </li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Reasoning and Decision Making - Must continuously use logic to analyze and interpret information, and prioritize. </li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Communication - Must continuously express or exchange ideas and meaning with employees and clients.</li><li style="margin:4px 0px;font-size:12pt;line-height:1.6;letter-spacing:0.25px;">Resilience - Must continuously adapt well in the face of workplace stressors.</li></ul> Equal Employment Opportunity (EEO) Phase2 is an Equal Opportunity Employer and complies with all applicable laws regarding non-discrimination and affirmative action. We encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, age, or any other protected status. We are committed to providing reasonable accommodations to applicants with disabilities throughout the recruitment process.</body></div>

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Remote Opportunity

Senior Data Architect (Data Foundation & AI Data Readiness)

Join Phase2 as a staff professional working remotely from United States. Explore the role, benefits, and apply in one place.

Senior Data Architect (Data Foundation & AI Data Readiness)

Phase2

Full Time

$132k - $155k

5 days ago

About the role Enterprises are increasingly looking to modernize their data ecosystems, improve the reliability and accessibility of their data, and prepare for AI-driven solutions.

United States

Staff

Data Architecture

Data engineering

SQL

+5 more

Job Description

About the role

Enterprises are increasingly looking to modernize their data ecosystems, improve the reliability and accessibility of their data, and prepare for AI-driven solutions. Often, the biggest challenges aren't the applications themselves, but the underlying data architecture, integration, and quality needed to support them. Every client environment is different, requiring someone who can quickly diagnose complex data challenges and architect practical solutions that deliver measurable business value.

You will shape how enterprise data becomes usable for analytics, AI-assisted experiences, workflows, and other use cases across client organizations. You'll architect and help build scalable data solutions while defining practical standards and patterns that make client data easier to find, understand, use, and govern. You'll collaborate with client data owners and engineering teams to deliver prototypes and production-ready capabilities, demonstrating progress through measurable outcomes and clear executive communication. Beyond delivering on individual client engagements, you'll help establish reusable data architecture, engineering, and AI-readiness frameworks that support the growth of this emerging capability at Phase2.

What You'll Do

Client Leadership

Actively help pitch and sell this capability alongside sales and account teams
Lead technical client conversations, diagnosing underlying data challenges and translating business needs into practical solutions rather than simply executing what's requested
Make the business case for foundational data work independent of any single AI use case, including quantifying cost avoidance, reporting-time savings, and eliminated duplicate work so clients see the value even before, or without, an AI initiative
Establish measurable outcomes and progress indicators that demonstrate the value of technical improvements, and communicate results through regular demos and executive updates

Strategy and Architecture

Collaborate with Phase2's senior technical leaders to establish reusable architectures, technical standards, and delivery approaches that help develop and scale our emerging enterprise data capabilities
Partner with the Marketing Technology Strategists and Data & Insights team to align semantic standards and warehouse architecture with domain-specific marketing data work (CDP, attribution, activation)
Establish standards for semantic and context layers to improve consistency, interpretability, and reuse across a client's data ecosystem
Pinpoint and resolve semantic and contextual gaps that limit data consistency, accessibility, and reliability, collaborating with client data owners to establish trusted, reusable data foundations across systems, teams, and AI applications
Design and deliver metadata, lineage, and data quality practices that improve discoverability and reduce ambiguity in AI-driven analysis
Define scalable data access and integration patterns that support analytics, AI applications, copilots, and agents

Implementation and Delivery

Architect, build, and optimize data platforms and pipelines, including data ingestion, integration, transformation, modeling, and storage, with attention to scalability, performance, reliability, and cost
Design and deliver proofs of concept and production-ready data solutions across diverse client environments, from targeted analytics migrations to complex, large-scale data processing and AI-enabled applications
Collaborate with software engineers and other technical specialists to implement solutions, establish reusable engineering patterns, and leverage AI-assisted development tools where appropriate

Quality and Governance

Establish data quality, validation, and testing practices that ensure solutions are reliable, accurate, and fit for their intended purpose, including AI use cases where applicable
Define technical standards and review the quality of data solutions developed by engineers and AI-assisted tooling, ensuring consistency, maintainability, and correctness
Incorporate appropriate documentation, metadata, lineage, and governance practices into solutions to support security, compliance, auditability, and responsible data use

What You’ll Need

8+ years of experience in data engineering, data architecture, or a closely related discipline (e.g., analytics engineering, data platform engineering, or MDM architecture)
Demonstrated ability to establish and apply data quality, testing, and validation practices that ensure the accuracy and reliability of data solutions
Ability to prototype and build solutions across the data and application stack to accelerate learning and delivery
Demonstrated experience architecting and delivering production data platforms and solutions, including data integration, transformation, modeling, and storage, with sound judgment around scalability, performance, reliability, and cost
Fluency in SQL and data modeling, with strong judgment around modeling approaches (e.g., Kimball, Data Vault) and when to apply them
A demonstrated habit of tracing a client complaint (a wrong report, an unreliable AI answer, a stalled migration) back to its actual data root cause
Experience navigating complex stakeholder environments, balancing technical, business, security, and compliance considerations to build alignment around solutions
Strong executive communication and storytelling skills, including delivering progress against the scorecards/KPIs you define and influencing roadmaps
Comfortable delivering visible progress in short cycles, showing a client tangible movement every week or two rather than asking them to wait months for a finished build
A generalist orientation and comfort with ambiguity; ability to own a client conversation on data migration one week and a large-scale pipeline the next

What Would Be Nice to Have

Experience supporting regulatory audits or compliance reviews in regulated industries (financial services, healthcare, or similar)
Experience bridging data product management and AI solution delivery
Experience in metadata management and data catalog ecosystems, including improving discoverability and interpretability
Full-stack engineering experience to support rapid prototyping and experimentation
Experience building or governing controls and metrics layers for enterprise analytics at scale
Experience directing AI agents/agentic tooling as a delivery mechanism, rather than only using them as personal productivity tools

What You’ll Get

The chance to make a real impact, helping millions of people per year.
To work from wherever you thrive best. We’re a remote-first team built on trust, flexibility, and outcomes.
A competitive compensation package that considers various factors.
A comprehensive benefits package that includes medical, dental, vision, life insurance, disability coverage, and supplemental insurance.
Our fun and interactive wellness program offers rewards for participation.
A 401(k) with a 3% employer contribution–no match required and 100% vested after just 90 days.
You’ll start with 16 paid vacation days, 4 personal days, and 1 volunteer day each year. Vacation and personal time increase with your tenure, recognizing your continued contributions.
Up to 12 weeks of fully paid leave for birthing parents and up to 6 weeks of fully paid bonding leave, based on your tenure. This includes support for adoption and foster placement, along with the option to extend time off through additional unpaid leave.
A $500 stipend to personalize and equip your home workspace for success.

What the Environment Looks Like

Physical Demands

Frequently remain in a stationary position, often standing or sitting for prolonged periods of time.
Occasional adjusting or moving of light objects up to 20 pounds in all directions.
Continuous communication on live video chats, calls, and through emails and messaging platforms for the purpose of exchanging information.
Continuous repetitive movements that may include the wrists, hands, and/or fingers.
Travel, sometimes frequent, is expected.

Mental Demands

Comprehension - Must continuously be able to understand direction and adhere to established procedures. Must also be able to gather information from clients and employees and synthesize this information in a meaningful way. May also be responsible for making improvements or recommendations to existing procedures.
Organization - Must continuously be able to gather and classify information, store information learned from conversations and communications, and then be and be able to quickly recall, interpret, and explain information.
Reasoning and Decision Making - Must continuously use logic to analyze and interpret information, and prioritize.
Communication - Must continuously express or exchange ideas and meaning with employees and clients.
Resilience - Must continuously adapt well in the face of workplace stressors.

Equal Employment Opportunity (EEO)

Phase2 is an Equal Opportunity Employer and complies with all applicable laws regarding non-discrimination and affirmative action. We encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, age, or any other protected status. We are committed to providing reasonable accommodations to applicants with disabilities throughout the recruitment process.

Requirements

you’ll start with 16 paid vacation days, 4 personal days, and 1 volunteer day each year. vacation and personal time increase with your tenure, recognizing your continued contributions.
up to 12 weeks of fully paid leave for birthing parents and up to 6 weeks of fully paid bonding leave, based on your tenure. this includes support for adoption and foster placement, along with the option to extend time off through additional unpaid leave.
a $500 stipend to personalize and equip your home workspace for success.
frequently remain in a stationary position, often standing or sitting for prolonged periods of time.
occasional adjusting or moving of light objects up to 20 pounds in all directions.
continuous communication on live video chats, calls, and through emails and messaging platforms for the purpose of exchanging information.
continuous repetitive movements that may include the wrists, hands, and/or fingers.
travel, sometimes frequent, is expected.

Benefits

Dental Insurance
Vision Insurance
Life Insurance
Wellness Programs
Parental Leave

Skills

Data Architecture

Data engineering

SQL

Data Modeling

Data Quality

Data Governance

metadata management

data lineage

Ready to Apply?

Join Phase2 today

Salary Range

$132k - $155k

Posted 5 days ago

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Clara

Full Time

22 hours ago

Clara is the leading platform in Latin America for companies to execute and manage every payment operation. More than 50,000 leading and fast-growing businesses run on our corporate cards, bill pay, financing and B2B payments, and in 2025 the Financial Times named Clara the region’s fastest-growing…

Worldwide

Engineering

Backend Engineering

Senior

B2B Sales

Enterprise Sales

Business Development

+5 more