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Who are we?
Indegene is a global consultancy at the forefront of driving innovation in the Pharmaceutical and Life Sciences industry, through combining medical and commercial expertise with innovative digital and AI technologies.
We enable global healthcare organizations to address complex challenges and drive better health and business outcomes by seamlessly integrating analytics, technology, operations, and medical expertise. Find out more at indegene.com
Who are you?
We are looking for an experienced Data Architect to design and implement end-to-end data architecture on cloud platforms (AWS) to support analytics, AI/ML, and enterprise reporting.
Responsibilities include:
1. Document data flows, architecture diagrams, and data lineage for transparency and compliance.
2. Define cloud-native data strategies including data lakes, data warehouses, and lakehouse solutions.
3. Design data models based on data modeling techniques, including OLTP, OLAP, and Data Vault 2.0 methodologies.
4. Develop scalable ETL/ELT frameworks for ingesting and processing structured and unstructured data.
5. Lead data platform modernization initiatives, including cloud data warehousing with Snowflake.
6. Ensure best practices around data security, privacy, and compliance (e.g., GDPR, HIPAA) in cloud environments.
7. Collaborate with data engineers, business analysts, application architects, and DevOps teams.
8. Establish data governance, metadata management, and data catalog strategies using cloud-native or third-party tools.
9. Lead cloud migration strategies for legacy data systems to cloud-native solutions.
10. Create and maintain data architecture documentation, including data flow diagrams, lineage, and system designs.
Required knowledge includes:
* Strong hands-on experience with cloud platforms like AWS (e.g., Glue, S3).
* Proficiency in SQL, Python, Spark, and cloud-native ETL tools.
* Deep understanding of data modeling, data lake/lakehouse architecture, data pipelines, and real-time streaming.
* Experience with Infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) and CI/CD for data infrastructure.
* Experience with modern tools like DBT, Snowflake.
* Exposure to ML pipelines and cloud AI/ML services (e.g., SageMaker, Azure ML).
* Strong communication skills to explain complex technical concepts to non-technical stakeholders.
* Good documentation and coaching practices.
Equal Opportunity
Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions will be based on business requirements, the candidate’s merit, and qualifications.
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