Senior Data Engineer

CapgeminiAtlanta, GA
Hybrid

About The Position

We are seeking an experienced Databricks Platform Architect who can work with our client(s) in defining and delivering end to end analytics and data science solutions on the Databricks Lakehouse Platform. Has experience and extensively worked with Iceberg for open table format workloads and cross-platform interoperability between Databricks, Snowflake and Microsoft Fabric. Has good experience in designing SQL and Spark based Transformations on Databricks, the person needs to be experienced enough to showcase the technical maturity on various aspects of data architecture and advise the customer on a architecture that complements Databricks Iceberg along with interoperability.

Requirements

  • Experience with Iceberg for open table format workloads and cross-platform interoperability between Databricks, Snowflake and Microsoft Fabric.
  • Experience in designing SQL and Spark based Transformations on Databricks.
  • Proven track record of designing and deploying large scale data platforms on Azure and Databricks.
  • Strong understanding of data modeling (star/snowflake schemas), ELT/ETL patterns, and data governance.
  • Excellent communication skills: ability to lead technical discussions and present to executive stakeholders.
  • Good Understanding of the DBT based ETL processing.
  • Databricks Certified Data Engineer Associate (or higher).
  • Databricks Certified Data Architect Professional (preferred).
  • Certification in at least one major cloud provider (AWS/Azure/GCP).

Responsibilities

  • Building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.
  • Designing and deploying large scale data platforms on Azure and Databricks.
  • Leading technical discussions and presenting to executive stakeholders.
  • Advising the customer on an architecture that complements Databricks Iceberg along with interoperability.

Benefits

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
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