[Hiring] Manager, Data Platform & Engineering @TheKey

Role Description

For nearly 20 years, TheKey has helped clients achieve successful long-term aging at home with comprehensive, concierge-based care. Ensuring the dignity, safety, and independence of its clients, TheKey is committed to changing how the world lives and ages at home.

Essential Duties and Responsibilities:

• AI-Driven Platform Strategy:
  • Contribute to and execute a roadmap that positions TheKey's data platform as AI-ready.
  • Champion the adoption of AI and automation tools within the data engineering team.
  • Partner with business and technology stakeholders to align platform capabilities with analytics and AI initiatives.
• AI-Ready Data Architecture:
  • Lead the design and governance of a metadata-rich data lake in Google BigQuery.
  • Establish and enforce standards for data cataloging, semantic tagging, lineage tracking, and business glossary definitions.
  • Drive adoption of tools such as Google Dataplex for automated metadata management and data quality enforcement.
• AI-Augmented Data Engineering:
  • Build and maintain scalable data pipelines using AI-assisted development tools.
  • Implement AI-driven testing and observability frameworks.
  • Automate repetitive data engineering workstreams using orchestration tools and AI-assisted scripting.
• Data Governance & Compliance:
  • Define and enforce data governance frameworks that support regulatory compliance and AI readiness.
  • Ensure all data assets are properly classified, documented, and governed.
  • Proactively identify and reduce technical debt in legacy data processes and structures.
• Master Data Management:
  • Own master data management practices to ensure accuracy and consistency.
  • Enrich master data with metadata and contextual attributes.
• Team Leadership:
  • Directly manage a team of data engineers.
  • Foster a culture of continuous learning and engineering excellence.
  • Conduct regular 1:1s, performance reviews, and workload prioritization.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 5+ years of experience in data engineering, with at least 1–2 years in a team lead or people management capacity.
• Hands-on expertise with Google BigQuery and the broader Google Cloud data ecosystem.
• Demonstrated experience building and managing cloud-native data pipelines and ELT/ETL processes at scale.
• Working knowledge of AI/ML workflows.
• Experience implementing data catalogs, metadata frameworks, and data lineage tooling.
• Familiarity with AI-assisted development tools.
• Strong data governance background including security, compliance, and quality frameworks.
• Strong communication and stakeholder management skills.

Requirements

• Google Cloud Professional Data Engineer certification (preferred).
• Experience with dbt for transformation layer management (preferred).
• Familiarity with vector databases or embedding pipelines (preferred).
• Experience with DataOps practices and pipeline observability tooling (preferred).
• Exposure to agentic AI frameworks or LLM orchestration tools (preferred).

Benefits

• Medical/Dental/Vision Insurance
• TouchCare VirtualCare
• Life Insurance
• Health Savings Account
• Flexible Spending Account
• 401(k) Matching
• Employee Assistance Program
• PTO Plan for Non-Exempt Employees
• Flexible PTO Plan for Exempt Employees
• Holidays and Floating Holidays
• Pet Insurance