ETL Modernization Lead Data Architecture

Role Overview:

We are looking for an experienced ETL Modernization Lead to drive largescale data transformation initiatives involving migration from legacy ETL platforms Informatica PowerCenter to modern cloud native data engineering frameworks Python PySpark AWS Databricks

This role will be responsible for solution architecture onsite client engagement delivery leadership and modernization strategy execution working closely with business stakeholders and offshore engineering teams

 

Mandatory Skills : Apache Airflow, AWS Glue, Databricks, PySpark-Data Science, Python & Data Lakehouse.

 

Strong hands on with below :

Python Py Spark

SQL Data Modelling

Experience with cloud platforms

AWS S3 Glue Redshift or equivalent

Databricks Snowflake preferred

 

Strong understanding of:

Data pipelines

Batch streaming architectures

Strong experience in ETL tools Informatica PowerCenter or similar

Data warehousing concepts

Architecture Design

Proven experience in data architecture and solution design

Experience in data modernization migration programs

Knowledge of metadata management and data governance tools eg Collibra

Leadership Delivery

Experience managing onsite offshore delivery models

Strong experience in client facing roles

Ability to lead largescale programs across multiple workstreams

 

Preferred Experience:

Experience in Capital Markets Financial Services domain

 

Exposure to:

Data quality frameworks

AIML based data solutions

Agile Scaled Agile delivery models

Experience in building modern data platforms BI COE initiatives