Data Platform Engineer – AI Lakehouse (Hybrid)

Harley Ellis Devereaux (HED)

Boston (MA)

Hybrid

USD 120,000 - 170,000

Full time

5 days ago
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Job summary

Harley Ellis Devereaux (HED) seeks a Data Platform Developer to build and enhance our data lakehouse infrastructure, enabling trusted analytics and AI-enabled workflows. You will own production pipelines, governance, and platform health while partnering with analysts and developers to deliver reliable data products.

You will work in a hybrid environment, collaborating across teams to improve ingestion, transformation, documentation, and platform automation.

Qualifications

  • 3+ years building production data pipelines on cloud platforms.
  • Strong SQL and Python; Spark or similar distributed processing.
  • Experience with production incident response and data recovery.
  • Experience with monitoring, alerting, and data reliability practices.
  • Ability to document clearly for technical colleagues and business stakeholders.

Responsibilities

  • Develop, operate, and improve ingestion and transformation pipelines across Bronze, Silver, and Gold data layers.
  • Administer and improve the Databricks environment, including workflows and Unity Catalog governance.
  • Maintain version-controlled configurations and deployment workflows; resolve differences between source control and production.
  • Implement automated data quality checks and schema contract tests to protect data.
  • Monitor pipeline freshness, availability, performance, and cost; maintain alerts and runbooks.
  • Collaborate with analytics and AI teams to deliver governed data products and safe AI-assisted workflows.

Skills

SQL
Python
Spark
Data pipelines
Documentation
Incident response
Communication
CI/CD
IaC
Databricks
Unity Catalog

Tools

Databricks
Snowflake
BigQuery
Delta Lake
Azure Data Lake Storage
Grafana
Prometheus
Loki
Git CI/CD

Job description

Harley Ellis Devereaux (HED) seeks a Data Platform Developer to build and enhance our data lakehouse infrastructure, enabling trusted analytics and AI-enabled workflows. You will own production pipelines, governance, and platform health while partnering with analysts and developers to deliver reliable data products.

You will work in a hybrid environment, collaborating across teams to improve ingestion, transformation, documentation, and platform automation.

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