Data Platform Developer
About The Position
HED is hiring a Data Platform Developer as part of its Data & AI team. The role focuses on operating and improving a modern lakehouse built on Databricks, Delta Lake, and Unity Catalog, connecting business systems with trusted analytics and emerging AI applications. This is an individual contributor position with ownership of production pipelines, platform health, data documentation, and continuous improvement. The developer partners with analysts, application developers, and business data owners to make information accessible, dependable, and actionable, and helps shape safe uses of AI-assisted tools to monitor and improve the platform. HED describes its culture as one that values aspiration, change, continual learning, collective growth, inclusion, and diverse perspectives. The work environment follows a hybrid model, with opportunities to work from home and regular in-office time. Offices provide a professional, open-space setting for collaborative and independent work.
Requirements
- At least 3 years of experience building and supporting production data pipelines on a cloud data platform such as Databricks, Snowflake, Microsoft Fabric/Synapse, or BigQuery.
- Strong SQL and Python skills, with experience using Spark or a comparable distributed data processing framework.
- Practical experience troubleshooting production jobs, recovering or backfilling data, and participating in operational incident response.
- Experience implementing monitoring, alerting, and data reliability practices.
- Ability to write clear technical documentation and communicate effectively with technical colleagues and business stakeholders.
- Ability and interest to learn HED’s specific tools and practices; direct experience with every technology listed is not required.
Nice To Haves
- Experience with Delta Lake or Apache Iceberg, medallion architectures, Databricks Workflows, Unity Catalog, and Azure Data Lake Storage.
- Familiarity with infrastructure as code, Git-based CI/CD, automated testing, data catalogs, lineage, and access governance.
- Experience with Grafana, Prometheus, Loki, cloud cost optimization, AI-assisted development, or enterprise systems such as Workday, Deltek, and Dynamics.
Responsibilities
- Develop, operate, and improve ingestion and transformation pipelines across Bronze, Silver, and Gold data layers, integrating sources such as Workday, Deltek, Dataverse, Microsoft Graph, and collaboration systems.
- Administer and continuously improve the Databricks environment, including workflows, compute standards, data storage, access controls, and Unity Catalog governance.
- Maintain version-controlled, reproducible platform configurations and deployment workflows, and identify and resolve differences between source control and production environments.
- Implement automated data quality checks and schema contract tests to protect governed datasets from unexpected changes.
- Monitor pipeline freshness, availability, performance, and cost; maintain actionable alerts, dashboards, and operational runbooks.
- Investigate and resolve production incidents, coordinate data recovery and backfills, document root causes, and implement preventive improvements.
- Maintain technical lineage, source metadata, the data dictionary, and platform documentation; collaborate with business owners to confirm definitions and accountability.
- Assess downstream impacts of schema changes, coordinate communications with data consumers, and support controlled changes across dependent systems.
- Collaborate with analytics and AI development colleagues to deliver reliable, well-governed data products and evaluate AI-assisted operational workflows.
- Contribute to platform architecture, technical standards, and future data-source onboarding as experience and ownership expand.
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What This Job Offers
Job Type
Full-time
Education Level
No Education Listed
