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Data Architect - ETL / DataLake
HexaCorpChennai22 days ago
Job descriptionDrive 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. Build real-time and batch pipelines with Azure Data Factory, AWS Glue, Spark, and Databricks. Optimize ETL / ELT processes for structured & unstructured data. Implement data deduplication, anomaly detection, and outlier handling. 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. 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. 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. 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. Strong stakeholder management & communication abilities. Capability to translate business problems into AI-powered data solutions. Experience in regulated industries (healthcare, pharma, finance) preferred. 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. 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.
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 :
- Design modern data platforms using Azure Synapse, Data Lake, Dataverse, and AWS Redshift.
- Integrate AI / ML capabilities with Azure OpenAI, AWS Bedrock, and Cognitive Services.
- Implement data mesh, lakehouse, and modern data warehouse architectures.
Data Management & Governance :
Data Engineering & Pipeline Automation :
AI-Powered Data Processing & Analytics :
Cloud Optimization & Cost Management :
Functional Leadership :
Technical Expertise :
Soft Skills :
Certifications (Preferred but not mandatory) :
Why Join HexaCorp ?
(ref : hirist.tech)
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Data Architect • Chennai
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