Technical Data Lead
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About the Role
ABOUT CoorB We build full-fledged innovative solutions with a focus on process automation, user experience enhancement, and advanced data analytics.
Key Skills for This Role
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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.
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