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DataBricks Consultant- Onshore (B)

Roles & Responsibilities

  • 10+ years in Data Engineering/Architecture with 4+ years focused on Databricks-led solutions at the enterprise level
  • BS/MS in Computer Science, Data Science, or equivalent
  • Databricks Solutions Architect Professional or Databricks Champion status is a significant plus
  • Exceptional presentation skills; ability to explain the why behind technical decisions to non-technical audiences

Requirements:

  • Architect at Scale: Design and deploy global-scale Lakehouse architectures using the Databricks Data Intelligence Platform
  • Strategic Advisory: Act as the primary technical liaison for C-suite stakeholders, translating business goals into architectural blueprints
  • Govern Security: Implement enterprise-grade security and governance frameworks via Unity Catalog
  • Optimize Performance: Audit and tune complex Spark clusters and SQL warehouses to maximize ROI and minimize cloud spend

Job description

Job Title: Principal Databricks Consultant (Enterprise Solution Architect)

Location: Remote
Employment Type: Contract
Experience Level: 10+ Years

The Opportunity

We are seeking a Principal Databricks Consultant with a deep background in Solution Architecture to lead large-scale digital transformations for our enterprise clients. In this role, you won't just build pipelines; you will architect the future of Data Lakehouse ecosystems, bridging the gap between high-level business strategy and technical execution.

What You’ll Do

  • Architect at Scale: Design and deploy global-scale Lakehouse architectures using the Databricks Data Intelligence Platform.
  • Strategic Advisory: Act as the primary technical liaison for C-suite stakeholders, translating business goals into architectural blueprints.
  • Govern & Secure: Implement enterprise-grade security and governance frameworks via Unity Catalog.
  • Optimize Performance: Audit and tune complex Spark clusters and SQL warehouses to maximize ROI and minimize cloud spend.
  • Lead Innovation: Support the adoption of Generative AI and MLOps workflows using MLflow and Mosaic AI.

Your Technical Toolkit

  • The Core: Expert-level mastery of Apache SparkDelta Lake, and PySpark/Scala.
  • Cloud Proficiency: Deep experience architecting on AWS, Azure (ADLS/Synapse), or GCP.
  • DevOps/IaC: Proven experience automating environments with TerraformJenkins, or GitHub Actions.
  • Data Modeling: Expert knowledge of Medallion architecture (Bronze/Silver/Gold) and Data Vault or Star Schema modeling.

Requirements

  • Experience: 10+ years in Data Engineering/Architecture, with 4+ years specifically focused on Databricks-led solutions at the enterprise level.
  • Education: BS/MS in Computer Science, Data Science, or equivalent.
  • Certifications: Databricks Solutions Architect Professional or Databricks Champion status is a significant plus.
  • Soft Skills: Exceptional presentation skills; ability to explain "the why" behind technical decisions to non-technical audiences.

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