Data Architect

Position: Data Architect
Location: Coimbatore
Type: Full-Time

Key Responsibilities:

• Design and architect scalable, secure, and resilient data platforms leveraging cloud-native technologies (AWS, Snowflake, Redshift).
• Lead the design and implementation of data pipelines (ETL/ELT) for both batch and real-time processing.
• Build and optimize data lakes and data warehouses to support enterprise analytics and AI/ML use cases.
• Define and implement data modeling standards, metadata management, and master data management (MDM) practices.
• Architect event-driven and streaming solutions using Kafka, EventBridge, and similar technologies.
• Ensure compliance with governance, data security, privacy, and regulatory requirements (HIPAA, GDPR, etc.).
• Drive adoption of best practices in data engineering, cloud architecture, and DevOps for data platforms.
• Collaborate with business stakeholders, data scientists, engineers, and product teams to deliver data-driven insights.
• Provide technical leadership, mentoring, and guidance to engineering teams.

Required Skills & Experience :

• 10+ years of experience in data architecture, engineering, or related technical roles.
• Proven expertise in the modern data stack: AWS Glue, Lambda, Kinesis, S3, Redshift/Snowflake.
• Strong programming and scripting experience with SQL and Python.
• Hands-on experience with workflow orchestration tools (Airflow, Prefect, Step Functions).
• Proficiency in Big Data technologies: Spark, PySpark, Scala.
• Solid understanding of streaming & event-driven architectures (Kafka, EventBridge/Event Bus).
• Experience in data modeling, building data lakes/warehouses, and architecting analytical platforms.
• Strong knowledge of data governance, security, compliance, and MDM practices.
• Excellent problem-solving, analytical, and system design skills.
• Exceptional communication, stakeholder management, and leadership capabilities.

Nice-to-Have Skills :

• Exposure to ML Ops and supporting AI/ML pipelines.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Familiarity with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation).
• Experience in multi-cloud or hybrid-cloud environments.