Databricks Resident Solution Architect

New
J
JobgetherCloud Data Platforms
United StatesFull-TimeSenior
Salary not disclosed
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Job Details

Experience
10+ years of overall experience in data engineering, data architecture, analytics engineering, or closely related disciplines.
Required Skills
PythonSQLAzureSparkCI/CDTerraformDatabricksPySpark

Requirements

  • 10+ years of overall experience in data engineering, data architecture, analytics engineering, or closely related disciplines.
  • 5+ years of hands-on experience with Databricks, including Delta Lake, Unity Catalog, Workflows/Jobs, and Lakehouse architecture.
  • Mandatory Databricks Professional Certification.
  • Strong expertise in Apache Spark, preferably PySpark, along with advanced Python and SQL capabilities.
  • Proven experience designing and implementing production-grade, large-scale data pipelines and enterprise data platforms.
  • Hands-on experience with at least one major cloud platform (Azure preferred; AWS or GCP also acceptable).
  • Strong knowledge of data modeling, Medallion architecture, governance, and enterprise data platform design.
  • Familiarity with CI/CD pipelines, infrastructure automation technologies such as Terraform, and Agile delivery practices.
  • Excellent communication and stakeholder-management skills.
  • Strong architectural judgment, problem-solving capabilities, and mentoring skills.

Responsibilities

  • Architect and guide the implementation of modern Databricks data platforms using Lakehouse and Medallion architecture principles.
  • Provide hands-on technical leadership across data engineering, analytics, and AI-enabled use cases within the Databricks ecosystem.
  • Establish and enforce enterprise data governance, security, access controls, and data management standards using Databricks Unity Catalog.
  • Enable AI and machine learning workloads, including ML pipelines and model lifecycle integration across the platform.
  • Optimize platform performance, scalability, reliability, and cost efficiency using a FinOps-oriented approach.
  • Collaborate with business leaders, architects, engineers, and other stakeholders to align platform capabilities with enterprise data and analytics objectives.
  • Act as a resident technical authority, providing architectural guidance, mentoring engineering teams, and ensuring solution quality and consistency.
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