Principal Data Engineer, Data Platform

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $170k - $195k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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A Place for Mom

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2000

🏪 Marketplace

👥 B2C

Marketplace • B2C

A Place for Mom is a U. S. -based senior care referral and marketplace that helps families find, compare, and arrange senior living and home care options, including assisted living, memory care, independent living, nursing homes, and home care providers. The company connects families with local senior living advisors, publishes guides, reviews and awards, and offers tools like cost calculators and personalized recommendations. Its service is free to families and is funded by participating senior living communities and home care providers.

📋 Description

• Define and evolve the technical vision and roadmap for APFM's Databricks platform and broader data ecosystem. • Drive the evolution of APFM's federated data operating model, balancing domain ownership with enterprise governance and standards. • Partner with Analytics Engineering and business stakeholders to evolve the semantic layer, ensuring business definitions, metrics, and dimensions remain consistent, discoverable, and trusted. • Establish standards for metadata management, lineage, discoverability, stewardship, and data quality across the organization. • Drive development of reusable data products and shared platform capabilities that enable self-service analytics at scale. • Lead adoption and governance of Databricks capabilities including Delta Lake, Unity Catalog, Workflows, AI/BI Genie, MLflow, Vector Search, and related platform services. • Partner closely with AI and Machine Learning teams to establish scalable operational patterns for model development, deployment, monitoring, and governance. • Guide technical decision-making across multiple teams and domains, helping align platform investments with business outcomes. • Mentor engineers across the organization and help elevate technical capabilities and engineering excellence.

🎯 Requirements

• 10+ years of experience in data engineering, data platform architecture, governance, or related disciplines. • Deep expertise designing and operating enterprise-scale Databricks Lakehouse platforms. • Extensive experience with Spark, Delta Lake, Unity Catalog, Databricks Workflows, and platform governance capabilities. • Strong proficiency in SQL, Python, and PySpark, with experience building and optimizing data processing workloads on Databricks. • Experience designing and supporting semantic layers, metrics governance, and self-service analytics capabilities. • Strong understanding of governance, metadata management, lineage, observability, security, and reliability engineering principles.

🏖️ Benefits

• 401(k) plus match • Dental insurance • Health insurance • Vision Insurance • Paid Time Off