Databricks Platform Architect & Data Product Lead

Allata, LLC

United States

Remote

USD 170,000 - 210,000

Full time

14 days+

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Job summary

Allata is seeking a Databricks Manager to lead client-facing data platform implementations. You will define the Lakehouse/EDW architecture, establish governance and security patterns, and guide multi-tenant data products built on Databricks and Delta Lake across engagements.

This role combines high-impact architectural leadership with hands-on engineering, mentoring data teams, collaborating with data product owners, security, and BI to deliver scalable, cost-efficient data platforms.

Qualifications

  • Architectural leadership on enterprise data platforms.
  • Hands-on with Databricks technologies and Spark.
  • Design and implement data governance, security, and lineage.
  • Experience with cloud data warehouses and lakehouses.
  • Familiarity with ETL/ELT tooling and SaaS connectors.

Responsibilities

  • Define overall data platform architecture and reference patterns.
  • Design data models for multi-tenant vertical products.
  • Establish governance, cataloging, lineage, and data contracts.
  • Define security controls and compliance for data platforms.
  • Plan scalability, HA, DR, and cost management.
  • Lead selection and integration of platform components.
  • Design CI/CD for data artifacts and automated deployments.
  • Define ingestion patterns and storage layout.
  • Specify observability with metrics and dashboards.
  • Mentor data engineering teams and perform reviews.
  • Collaborate with stakeholders to translate requirements into solutions.
  • Develop and deploy processing modules using Spark and SQL.

Skills

Databricks
Spark PySpark/Scala
Data platform architecture
Data governance
Security IAM
Leadership
CI/CD for data

Tools

Delta Lake
Delta Live Tables
Unity Catalog
Fivetran
Azure Data Factory
Data Fabric
SQL Server
PostgreSQL
Oracle

Job description

Allata is seeking a Databricks Manager to lead client-facing data platform implementations. You will define the Lakehouse/EDW architecture, establish governance and security patterns, and guide multi-tenant data products built on Databricks and Delta Lake across engagements.

This role combines high-impact architectural leadership with hands-on engineering, mentoring data teams, collaborating with data product owners, security, and BI to deliver scalable, cost-efficient data platforms.

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