Data Architect

4 days ago

Coimbatore, India Hash Agile Technologies 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.

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