Azure Databricks Engineer (Pyspark)
Dallas, TX/ Atlanta, GA-- 5 days onsite - -(Day1 Onsite)
for subcon ***/hr
Role Summary
We are seeking a Tech Lead to drive the end to end successful migration of enterprise data integration workloads from Informatica to Azure Databricks
and to provide thought leadership for the Databricks platform within the supply chain ecosystem. This role combines hands on technical leadership, architecture guidance, delivery ownership, stakeholder alignment, and platform enablement. The ideal candidate will lead modernization efforts that improve scalability, reliability, performance, and business value across supply chain data products and analytics capabilities.
Key Responsibilities
Lead the end to end migration of data pipelines, workflows, and integration patterns from Informatica to Azure Databricks.
Assess current state Informatica assets and define target state architecture, migration strategy, and phased execution plans. The current environment is based on Informatica PowerCenter 10.4.1 running batch ETL workloads, with Oracle as both the source and target database. The target state platform is Azure Databricks (Runtime 14.4 LTS) with Unity Catalog, Delta Live Tables (DLT), and
ADLS Gen2.
Drive modernization of ETL patterns into scalable ELT and data engineering approaches aligned with Azure Databricks best practices.
Analyze and interpret complex Informatica PowerCenter mappings, including transformations, lookups, joins, filters, routers, and expression logic, and build equivalent PySpark based pipelines in Azure Databricks.
Assess Oracle database level stored procedures, functions, and packages that are invoked by or tightly coupled with Informatica workflows, and determine whether to migrate, refactor, or recreate that logic within Databricks using PySpark, Python, or Spark SQL.
Provide technical leadership across solution design, engineering standards, code quality, testing strategy, deployment, and production readiness.
Partner with business, product, architecture, infrastructure, security, and operations stakeholders to align migration outcomes with enterprise priorities.
Establish migration success criteria covering data quality, reconciliation, performance, resilience, observability, and business continuity.
Identify delivery risks, dependencies, and technical constraints early, and drive mitigation plans through execution.
Guide cutover, stabilization, and post migration optimization to ensure sustainable platform adoption and operational excellence.
Mentor engineers and technical teams on Databricks design patterns, reusable frameworks, and modern data engineering practices
The pay range for this role is
***k - ***k
per annum including any bonuses or variable pay. *** also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.
Thanks
Regards
*** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.
Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at
*** .