Data Architect

17 hours ago

Coimbatore Tamil Nadu, India Hash Agile Technologies Full time

**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**.

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