Data Architect - ETL/DataLake

We are looking for a highly skilled Data Architect with expertise in Azure, AWS, and AI to design and deliver scalable, secure, and AI-driven data architectures for enterprise customers.

Key Responsibilities :

Data Architecture & AI-Driven Insights :

- Integrate AI/ML capabilities with Azure OpenAI, AWS Bedrock, and Cognitive Services.

- Implement data mesh, lakehouse, and modern data warehouse architectures.

Data Management & Governance :

- Drive data wrangling, cleansing, and transformation for accuracy and reliability.

- Implement data quality frameworks (Azure DQS, AWS Glue DataBrew, Great Expectations).

- Manage lineage, cataloging, and governance with Azure Purview, AWS Lake Formation.

- Ensure compliance with HIPAA, GDPR, SOC2 via robust governance and retention policies.

Data Engineering & Pipeline Automation :

- Optimize ETL/ELT processes for structured & unstructured data.

- Implement data deduplication, anomaly detection, and outlier handling.

AI-Powered Data Processing & Analytics :

- Leverage Azure ML, AWS SageMaker, Databricks MLflow for predictive analytics.

- Build NLP/NLQ-driven BI using Power BI AI Insights & AWS QuickSight Q.

- Integrate vector search and AI-driven search with Azure AI Search & AWS Kendra.

Cloud Optimization & Cost Management :

- Optimize Azure OpenAI & AWS Bedrock deployments for cost and performance.

- Implement serverless & event-driven architectures with Azure Functions & AWS Lambda.

- Manage storage optimization across Blob Storage & S3 for AI/ML models.

Functional Leadership :

- Collaborate with business leaders to align architecture with business goals.

- Define and enforce data governance, quality, and compliance frameworks.

- Mentor engineering teams and lead PoCs for emerging AI & data technologies.

- Create best practices, guidelines, and documentation for enterprise adoption.

Technical Expertise :

- Proven experience in Azure (Synapse, Data Factory, Databricks, OpenAI, Cognitive Services) and AWS (Redshift, Glue, SageMaker, Bedrock, Kendra).

- Strong skills in SQL, PySpark, pandas, Dask for large-scale data wrangling.

- Hands-on with ETL/ELT, data pipelines, and transformation frameworks.

- Experience with Azure Purview, AWS Lake Formation, RBAC, data masking, encryption.

- Strong knowledge of AI/ML integration, NLP, embeddings, and vector databases.

- Familiarity with MLOps, CI/CD, Terraform, CloudFormation.

Soft Skills :

- Strong stakeholder management & communication abilities.

- Capability to translate business problems into AI-powered data solutions.

- Experience in regulated industries (healthcare, pharma, finance) preferred.

Certifications (Preferred but not mandatory) :

- Microsoft Certified: Azure AI Engineer Associate.

- Microsoft Certified: Azure Data Engineer Associate.

- AWS Certified Machine Learning Specialty.

- AWS Certified Data Analytics Specialty.

- Databricks Certified Data Engineer Professional.

Why Join HexaCorp ?

- Work with cutting-edge Cloud + AI technologies in enterprise-scale projects.

- Be part of a high-growth company with deep expertise in healthcare, pharma, energy & BFSI.

- Lead and influence next-gen data & AI transformation initiatives.