Data Architect

Data Architect

Key Responsibilities

1. 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.

2. 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.

3. Data Engineering & Pipeline Automation

• 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

  .

4. 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.

5. 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.

6. 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.

Required Skills & Qualifications

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

  .