Senior Data Architect – Data Foundation, AI Data Readiness

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in pitching and selling enterprise data capabilities alongside sales and account teams.

• Facilitate technical discussions with clients and identify their underlying data challenges.

• Convert business requirements into actionable data solutions.

• Measure cost savings, reporting-time efficiencies, and the elimination of duplicate efforts.

• Set measurable objectives and relay results through demonstrations and executive summaries.

• Create reusable data architectures, technical standards, and delivery methodologies.

• Align semantic standards and warehouse architecture with marketing data initiatives, including CDP, attribution, and activation.

• Develop semantic and context layers throughout client data ecosystems.

• Address semantic and contextual inconsistencies impacting data consistency, accessibility, and reliability.

• Design and implement metadata, lineage, and data quality protocols.

• Define scalable patterns for data access and integration tailored for analytics, AI applications, copilots, and agents.

• Architect, construct, and enhance data platforms and pipelines that encompass ingestion, integration, transformation, modeling, and storage.

• Provide proofs of concept and deploy production-ready data solutions in varied client settings.

• Work collaboratively with software engineers and technical experts on implementation strategies and reusable engineering patterns.

• Establish practices for data quality, validation, and testing.

• Define technical standards and evaluate data solutions created by engineers and AI-assisted tools.

• Integrate documentation, metadata, lineage, governance, security, compliance, auditability, and responsible data usage practices.

• Aid in developing reusable data architecture, engineering, and AI-readiness frameworks for Phase2.

⛳️ Requirements

• Over 8 years of experience in data engineering, data architecture, or a related field.

• Proven experience in establishing and applying data quality, testing, and validation methodologies.

• Capability to prototype and develop solutions across the data and application stack.

• Experience in architecting and delivering production data platforms and solutions, including integration, transformation, modeling, and storage.

• Proficiency in SQL and data modeling.

• Strong discernment regarding Kimball, Data Vault, and other modeling methodologies.

• Ability to trace data-related issues to their root causes.

• Experience navigating complex stakeholder environments while balancing technical, business, security, and compliance aspects.

• Exceptional executive communication and storytelling abilities.

• Demonstrated ability to deliver visible progress in short timeframes.

• Generalist mindset and comfort with ambiguity.

• Nice to have: experience in supporting regulatory audits or compliance assessments within regulated sectors.

• Nice to have: experience in bridging data product management with AI solution delivery.

• Nice to have: familiarity with metadata management and data catalog ecosystems.

• Nice to have: full-stack engineering experience.

• Nice to have: experience in building or governing controls and metrics layers for large-scale enterprise analytics.

• Nice to have: experience managing AI agents or agentic tools.

• Frequent travel may be required.

🏝️ Benefits

• Embrace a remote-first working environment from your preferred location.

• Comprehensive medical, dental, vision, life insurance, disability coverage, and supplemental insurance.

• Wellness program with rewards for participation.

• 401(k) plan with a 3% employer contribution; no matching required; fully vested after 90 days.

• Enjoy 16 paid vacation days, 4 personal days, and 1 volunteer day annually.

• Accrue additional vacation and personal time with tenure.

• Up to 12 weeks of fully paid leave for birthing parents and up to 6 weeks of fully paid bonding leave based on tenure.

• Support for adoption and foster placement.

• Option to extend leave through additional unpaid time off.

• $500 stipend for home workspace setup.

• Competitive compensation package.

• Opportunity to create a meaningful impact for millions of individuals each year.