a-place-for-mom - Principal Data Engineer, Data Platform
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Requirements
• You are a technical leader who combines deep expertise in modern data platforms with a pragmatic approach to solving complex business problems. You build trust through technical excellence, sound judgment, and a collaborative approach to leadership. • You influence technical direction across teams, align stakeholders around a shared vision, and help elevate engineering practices throughout the organization. • You understand that successful analytics and AI initiatives are built on strong data foundations and effective governance. • 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.
Responsibilities
• 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.
Benefits
• Base Salary: $170,000 to $195,000 + 30% Bonus • 401(k) plus match • Dental insurance • Health insurance • Vision Insurance • Paid Time Off
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