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Databricks Consultant

Databricks Consultant

Genzeon GlobalSeri Lingampally, TG, in
11 days ago
Job type
  • Quick Apply
Job description

Job Description

Overview

We are seeking an experienced Databricks Consultant to join our Data Practice team. As part of our specialized data services group, you will leverage deep Databricks expertise to solve complex data challenges for our clients. The ideal candidate will combine technical Databricks platform knowledge with data strategy consulting skills to deliver high-value, scalable data solutions that drive business outcomes.

Responsibilities

  • Serve as a key technical advisor within our Data Practice, specializing in Databricks Lakehouse Platform implementation
  • Assess clients' existing data landscapes and develop strategic roadmaps for Databricks adoption
  • Design and implement end-to-end data engineering solutions using Databricks
  • Modernize legacy data warehouses and data lakes by migrating to Databricks Lakehouse architecture
  • Develop optimized data pipelines using Apache Spark, Delta Lake, and Databricks Workflows
  • Implement data governance frameworks using Unity Catalog and other Databricks tools
  • Collaborate with other practice areas (Analytics, ML / AI, Cloud) to deliver integrated solutions
  • Lead client workshops and discovery sessions to gather requirements and align on solutions
  • Provide thought leadership through knowledge sharing, blog posts, and community participation
  • Mentor junior consultants and contribute to the growth of our Data Practice capabilities

Requirements

  • 10+ years of experience in data engineering and analytics consulting
  • 3+ years of hands-on experience implementing Databricks solutions for enterprise clients
  • Strong understanding of modern data architecture patterns and the Lakehouse paradigm
  • Proficient in building data pipelines using Spark and Delta Lake on Databricks
  • Experience integrating Databricks with broader data ecosystems and BI tools
  • Ability to translate business requirements into technical solutions
  • Experience in one or more cloud platforms where Databricks is deployed (AWS, Azure, GCP)
  • Strong client-facing communication skills and consulting mindset
  • Technical Skills

  • Databricks Platform : Databricks Workflows, Unity Catalog, Databricks SQL
  • Data Engineering : Apache Spark, Delta Lake, ETL / ELT pipelines
  • Languages : Python, SQL, Scala (preferred)
  • Cloud Platforms : AWS, Azure, GCP
  • Data Integration : Experience with common data sources and targets
  • Analytics & BI : Integration with tools like Power BI, Tableau, or Looker
  • Consulting Skills

  • Requirements gathering and solution design
  • Technical documentation and presentation
  • Client relationship management
  • Project estimation and planning
  • Workshop facilitation
  • Change management
  • Requirements

    Key Skills Databricks, Spark, Delta Lake, Workflows, Unity Catalog Languages Python & SQL mandatory, Scala is optional Pipeline Expertise Strong hands-on with ETL / ELT, Apache Spark, and Delta Lake on Databricks Domain Flexibility Healthcare domain is a plus, but not mandatory Platform Focus Preference : Azure Databricks, but AWS also acceptable BI Tool Integration Flexibility among Power BI, Tableau, Looker Cloud Platform Azure >

    AWS >

    GCP (flexible)