Job Description
<p><p>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.<br/><br/><b>Key Responsibilities :</b><br/><br/><b>Data Architecture & AI-Driven Insights :</b></p><p><p><b><br/></b></p>- Design modern data platforms using Azure Synapse, Data Lake, Dataverse, and AWS Redshift.<br/><br/></p><p>- Integrate AI/ML capabilities with Azure OpenAI, AWS Bedrock, and Cognitive Services.<br/><br/></p><p>- Implement data mesh, lakehouse, and modern data warehouse architectures.<br/><br/><b>Data Management & Governance :</b><br/><br/></p><p>- Drive data wrangling, cleansing, and transformation for accuracy and reliability.<br/><br/></p><p>- Implement data quality frameworks (Azure DQS, AWS Glue DataBrew, Great Expectations).<br/><br/></p><p>- Manage lineage, cataloging, and governance with Azure Purview, AWS Lake Formation.<br/><br/></p><p>- Ensure compliance with HIPAA, GDPR, SOC2 via robust governance and retention policies.<br/><br/><b>Data Engineering & Pipeline Automation :</b></p><p><p><b><br/></b></p>- Build real-time and batch pipelines with Azure Data Factory, AWS Glue, Spark, and Databricks.<br/><br/></p><p>- Optimize ETL/ELT processes for structured & unstructured data.<br/><br/></p><p>- Implement data deduplication, anomaly detection, and outlier handling.<br/><br/><b>AI-Powered Data Processing & Analytics :</b><br/><br/></p><p>- Leverage Azure ML, AWS SageMaker, Databricks MLflow for predictive analytics.<br/><br/></p><p>- Build NLP/NLQ-driven BI using Power BI AI Insights & AWS QuickSight Q.<br/><br/></p><p>- Integrate vector search and AI-driven search with Azure AI Search & AWS Kendra.<br/><br/><b>Cloud Optimization & Cost Management :</b><br/><br/></p><p>- Optimize Azure OpenAI & AWS Bedrock deployments for cost and performance.<br/><br/></p><p>- Implement serverless & event-driven architectures with Azure Functions & AWS Lambda.<br/><br/></p><p>- Manage storage optimization across Blob Storage & S3 for AI/ML models.<br/><br/><b>Functional Leadership :</b><br/><br/></p><p>- Collaborate with business leaders to align architecture with business goals.<br/><br/></p><p>- Define and enforce data governance, quality, and compliance frameworks.<br/><br/></p><p>- Mentor engineering teams and lead PoCs for emerging AI & data technologies.<br/><br/></p><p>- Create best practices, guidelines, and documentation for enterprise adoption.<br/><br/><b>Technical Expertise :</b><br/><br/></p><p>- Proven experience in Azure (Synapse, Data Factory, Databricks, OpenAI, Cognitive Services) and AWS (Redshift, Glue, SageMaker, Bedrock, Kendra).<br/><br/></p><p>- Strong skills in SQL, PySpark, pandas, Dask for large-scale data wrangling.<br/><br/></p><p>- Hands-on with ETL/ELT, data pipelines, and transformation frameworks.<br/><br/></p><p>- Experience with Azure Purview, AWS Lake Formation, RBAC, data masking, encryption.<br/><br/></p><p>- Strong knowledge of AI/ML integration, NLP, embeddings, and vector databases.<br/><br/></p><p>- Familiarity with MLOps, CI/CD, Terraform, CloudFormation.<br/><br/><b>Soft Skills :</b><br/><br/></p><p>- Strong stakeholder management & communication abilities.<br/><br/></p><p>- Capability to translate business problems into AI-powered data solutions.<br/><br/></p><p>- Experience in regulated industries (healthcare, pharma, finance) preferred.<br/><br/><b>Certifications (Preferred but not mandatory) :</b><br/><br/></p><p>- Microsoft Certified: Azure AI Engineer Associate.<br/><br/></p><p>- Microsoft Certified: Azure Data Engineer Associate.<br/><br/></p><p>- AWS Certified Machine Learning Specialty.<br/><br/></p><p>- AWS Certified Data Analytics Specialty.<br/><br/></p><p>- Databricks Certified Data Engineer Professional.<br/><br/><b>Why Join HexaCorp ?</b><br/><br/></p><p>- Work with cutting-edge Cloud + AI technologies in enterprise-scale projects.<br/><br/></p><p>- Be part of a high-growth company with deep expertise in healthcare, pharma, energy & BFSI.<br/><br/></p><p>- Lead and influence next-gen data & AI transformation initiatives.<br/></p><br/></p> (ref:hirist.tech)