Technical Data Lead

Open 30d

ABOUT CoorB

We build full-fledged innovative solutions with a focus on process automation, user experience enhancement, and advanced data analytics. With our extensive industry expertise, we help achieve operational excellence, future-proof your IT investments, and ensure a competitive edge in the ever-evolving finance industry.


OUR OPPORTUNITY

The Technical Data Lead provides hands-on technical leadership across the current and target data platforms. The role ensures that legacy logic is correctly understood, target-state implementation follows architecture standards, and migration outputs are accurate and validated

YOU WILL

  • Lead technical delivery across ETL, data modeling, BI, data quality, and migration workstreams.
  • Review current-state pipelines, reports, data models, stored procedures, MDM flows, and platform dependencies
  • Translate architecture decisions into implementable technical tasks.
  • Guide ETL Developers, BI Developers, and Data Modelers during migration and delivery.
  • Ensure existing business logic is correctly carried into the target architecture where required.
  • Identify opportunities to simplify, consolidate, or retire legacy logic.
  • Review source-to-target mappings, technical designs, code, pipelines, and reconciliation outputs.
  • Enforce naming conventions, development standards, lineage requirements, and deployment discipline.
  • Coordinate with the Data Architect on technical design decisions and exceptions.
  • Support issue resolution across current and target environments.
  • Ensure decommissioning is technically safe and validated.



Requirements

TO BE SUCCESSFUL IN THE ROLE YOU NEED

  • Strong hands-on experience in enterprise data platforms, ETL, DWH, BI, and data migration.
  • Strong SQL and data analysis skills.
  • Experience with Informatica, Oracle, DataStage, SSIS, Power BI, MDM, DQ, or similar enterprise data tools.
  • Experience with target technologies such as dbt, Spark, Databricks, Fabric, Snowflake, or cloud data platforms is preferred.
  • Strong understanding of source-to-target mapping, reconciliation, data quality, and migration validation.
  • Ability to lead technical teams and resolve complex data issues.