Principal Databricks Architect

Bounteous
United States
Workplace: RemoteFull timeUSD 102,000 - 133,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Communication","Leadership","Mentoring","Stakeholder management"]

Lead the architecture and delivery of a cloud-based data lakehouse on Databricks, guiding engineering, governance, and performance optimization across AWS/Azure/GCP. Partner with data science teams to productionize ML workloads, and set standards for ingestion, modeling, CI/CD, and cost efficiency.

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FursaFursa
Bounteous
Bounteous
2 months ago

Principal Databricks Architect

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 19 hours agoStatus: Live

Job Summary

Lead the architecture and delivery of a cloud-based data lakehouse on Databricks, guiding engineering, governance, and performance optimization across AWS/Azure/GCP. Partner with data science teams to productionize ML workloads, and set standards for ingestion, modeling, CI/CD, and cost efficiency.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Sr. Manager level

Key Responsibilities

  • •Architect and lead the implementation of an enterprise lakehouse on Databricks across one or more clouds
  • •Design scalable batch and streaming data pipelines using PySpark, Spark SQL, Structured Streaming, and Delta Live Tables; establish ingestion patterns from operational systems, event streams, and third-party APIs
  • •Define and enforce platform standards for data modeling (medallion architecture), CI/CD, code quality, testing, observability, and cost optimization
  • •Lead the governance strategy using Unity Catalog—fine-grained access control, data lineage, audit, and PII handling—in collaboration with security and compliance
  • •Own Spark performance optimization and cost management (cluster sizing, Photon, autoscaling, file layout, Z-ordering, caching, query tuning) and collaborate with ML engineers to operationalize models using MLflow and feature stores

Pay and Benefits

Salary: USD 102,000 - 133,000 annually

Key Requirements

  • •8+ years of data engineering experience, with 4+ years building production workloads on Databricks
  • •Deep expertise in Apache Spark (PySpark and Spark SQL) including performance tuning and partitioning
  • •Strong hands-on experience with Delta Lake, Unity Catalog, Databricks Workflows, and Delta Live Tables
  • •Production experience on at least one major cloud (AWS, Azure, or GCP), including networking, IAM, storage, and compute primitives
  • •Proficiency in Python and SQL; comfort with Scala is a plus
Experience:8+ yearsData engineeringDatabricksLakehouse
Skills:CommunicationLeadershipMentoringStakeholder management
Languages:English
Tech Stack:PySparkSpark SQLStructured StreamingDelta Live TablesDelta LakeUnity CatalogPhotonWorkflowsPythonSQLScalaMLflowTerraformDbxGitIAMS3ADLSGCSDatabricks

Company Brief

Bounteous
Bounteous is a digital experience consultancy that designs, builds, and optimizes digital products, platforms, and customer experiences for enterprise brands across marketing, commerce, and analytics.
Industry: Consulting
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Headquarters: Chicago, United States
Founded: 2003
WebsiteLinkedIn