About the Role :

We are looking for an experienced Cloud Data Architect / Data Governance Architect with 7+ years of experience in Data Engineering, Data Architecture, Cloud Data Platforms, and Data Governance.

Key Responsibilities :

1. Cloud Data Architecture :

- Design, build, and maintain enterprise-scale data architectures across Azure and AWS.

- Design Data Lakes, Data Warehouses, Lakehouse platforms, and real-time data processing architectures.

- Develop cloud-native solutions using PaaS, serverless, managed data services, and automation.

- Define scalable architectures for batch, streaming, ETL/ELT, and API-based data integration.

- Create architecture blueprints, solution designs, data flows, and technical documentation.

2. Azure & AWS Data Platforms :

- Azure: Azure Data Factory (ADF), Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2 (ADLS), Azure SQL, Azure Cosmos DB, Azure Key Vault, Azure Functions, Azure Monitor / Log Analytics, Microsoft Purview.

- AWS: Amazon S3, AWS Glue, Amazon Redshift, AWS Lambda, Amazon EMR, Amazon DynamoDB, Amazon RDS, AWS IAM, AWS Lake Formation, Amazon CloudWatch, AWS Secrets Manager.

3. Data Governance :

- Define and implement enterprise data governance frameworks and standards.

- Establish practices for data ownership, stewardship, classification, metadata management, lineage, and data quality.

- Implement data cataloguing and discovery solutions across cloud data platforms.

4. Data Security & Compliance :

- Design secure data architectures incorporating security and privacy by design principles.

- Implement RBAC/IAM, least-privilege access, encryption, secrets management, and network security.

- Ensure appropriate protection of sensitive and personally identifiable information (PII).

5. Data Integration & Engineering :

- Design and govern ETL/ELT pipelines across cloud and on-premises environments.

- Work with structured, semi-structured, and unstructured data.

- Design integration solutions using SQL, NoSQL, APIs, streaming platforms, and big data technologies.

6. DevOps & Infrastructure Automation :

- Implement CI/CD practices for cloud data products.

- Work with Git, Azure DevOps, GitHub Actions, Jenkins, or equivalent tools.

- Implement Infrastructure as Code using Terraform or equivalent IaC technologies.

Tech Stack & Requirements :

- 7+ years overall experience in Data Engineering, Data Architecture, Cloud Data, or related roles.

- Strong experience with Azure and/or AWS cloud data platforms (5+ years in one + 2+ years in the other).

- Strong SQL and database knowledge.

- Experience with big data and/or streaming technologies (e.g., Kafka).

- Knowledge of GDPR, HIPAA, ISO, or similar compliance frameworks.

- Strong documentation and stakeholder-management skills.

Education :

- Bachelor's degree in Computer Science, Information Technology, Data Engineering, Information Systems, Engineering, or equivalent experience.