QL

Senior Consultant - Databricks

Quess Lankalinkedin.com
Sep 17, 20265w ago
ContractColomboData engineeringSenior (5+ yrs)

About the role

As a Senior Consultant - Databricks, you will design, develop, deploy, and support scalable batch and streaming data pipelines using Azure Databricks, Spark, PySpark, Python, and SQL. The role involves building Lakehouse solutions, developing ETL/ELT frameworks, supporting data platform modernization, and applying best practices in data modeling, governance, and orchestration. You will also optimize Spark workloads, implement secure access controls, develop CI/CD pipelines, collaborate with cross-functional teams, and mentor junior engineers. The position requires a strong background in data engineering and Databricks, with a mandatory Databricks Professional Certification.

Must have

  • Bachelor's degree in Computer Science, Data Science, or a related discipline
  • 5+ years of experience in Data Engineering, Analytics, BI, or Software Engineering
  • 2+ years of enterprise Databricks experience
  • Strong expertise in Spark, PySpark, Python, SQL, Delta Lake, Databricks SQL, Notebooks, Workflows, and Repos
  • Experience with Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Synapse, Microsoft Fabric, and Power BI
  • Experience with CI/CD, Git, automated testing, and release management
  • Strong analytical, communication, documentation, customer engagement, and teamwork skills
  • Ability to work independently and mentor junior engineers in Agile environments
  • Databricks Professional Certification is mandatory.

Nice to have

  • Databricks Delivery Expert / Project Expert Certification
  • Azure / Microsoft Fabric Certifications
  • Exposure to Asset Bundles, IaC, MLflow, MLOps, GenAI, Purview, data observability, and event streaming
  • Experience in presales, estimations, POCs, and customer demonstrations

Technologies

  • Agile
  • Azure
  • Azure Data Factory
  • Azure DevOps
  • CI/CD
  • Data Engineering
  • Data Lake
  • Data Modeling
  • Data Pipelines
  • Data Science
  • Databricks
  • Delta Lake
  • ELT
  • ETL
  • Generative AI
  • Git
  • Infrastructure as Code
  • Lakehouse
  • Machine Learning
  • Microsoft Fabric
  • MLflow
  • MLOps
  • Observability
  • Power BI
  • PySpark
  • Python
  • Spark
  • SQL
  • Test Automation
  • Unity

Highlights

Databricks Professional Certification is mandatory. Additional certifications such as Databricks Delivery Expert, Azure, or Microsoft Fabric are advantageous. Experience in presales, POCs, and customer demos is a plus.