Data Architect With Life science

Should have an expertise in data architecture data modelling and data integration.

Should be well versed with at least two of the Data Warehouse Platforms AWS Redshift Snowflake or equivalent.

Candidate should be well versed with Data integration (from diverse source systems) leveraging platforms such as Boomi Mulesoft AWS Glue Talend or equivalent

Experience with APIs/Application integration is a plus

Develop POC and demonstrate solution fitment as per requirements

Design and Develop Database Architecture as per Standards

Create ETL/ELT Solutions

Create Strategies for Data Archiving/Purging working with Product Analysts

Manage/implement data security needs

Worked on endtoend implementations of Data lake models and advanced analytics pipeline at an enterprise level

Must have worked on Life Sciences data at scale on BIG Data or related analytics projects

Must have worked on endtoend large / complex Development projects

Ability to gather technical requirements from Client and come up with Design and seek approvals from Client

Coordinate with Client on Technical aspects and support / enable project team with Development Testing Roll out & Hypercare

11 years experience

Good to have:

Background of Life Sciences especially Lab ecosystem (Lab Informatics workflows standards (Allotrope SILA)

Life science,ETL/ELT Solutions,Data integration,Mulesoft,AWS Glue