Technical Data Lead

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.