Chief Data Strategist

4 days ago

Madurai, Tamil Nadu, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Job Opportunity:

We are seeking a seasoned Data Architect to lead the design, development and optimization of our data platform.

This role will play a pivotal part in shaping our data architecture strategy, leveraging expertise in cloud-native data engineering, data governance, security and AI-powered engineering automation.

Key Responsibilities:

  • Design and implement scalable, robust and secure data pipelines using Azure Data Factory, Databricks, Synapse Analytics, Azure Data Lake Gen2, Event Hub and Azure Functions.
  • Develop and maintain ETL/ELT processes for structured and unstructured data, ensuring seamless integration with AWS Glue, S3, Redshift or GCP BigQuery as needed.
  • Implement Change Data Capture (CDC), streaming pipelines and batch ingestion, optimizing performance and cost across data workloads and cloud environments.
  • Establish and maintain data quality frameworks, observability tools and monitoring dashboards, defining and enforcing data rules, validations, anomaly detection and reconciliation.
  • Implement data lineage and metadata tracking using Azure Purview, driving adoption of data cataloguing, profiling and classification tools.
  • Collaborate with data stewards and compliance teams to ensure governance alignment, implementing role-based access control (RBAC), data masking, encryption and tokenization.

Qualifications & Experience:

  • 4+ years in data engineering with at least 2+ years on Azure cloud platform.
  • Hands-on experience with Azure Data Factory, Azure Data Lake Gen2, Databricks, Synapse, Purview and proficiency in SQL, PySpark, Python and data orchestration tools.
  • Strong understanding of data architecture patterns - Lakehouse, Medallion, Delta Architecture.
  • Familiarity with Snowflake, BigQuery, Redshift, or AWS Glue.
  • Experience with data versioning and GitOps for data, working knowledge of data observability, lineage, cataloguing and data quality.
  • Exposure to privacy-enhancing techniques, access control and security auditing, exposure to machine learning use cases in data engineering pipelines, data quality, anomaly detection and schema change detection.
  • Exposure to GenAI or agentic AI to automate data cataloguing and metadata enrichment etc.

Soft Skills:

  • Strong problem-solving, communication and stakeholder collaboration skills.
  • Ability to lead data initiatives and mentor team members.
  • Proactive in learning and adopting emerging technologies in data & AI.

Personal Attributes/Traits:

  • Consultative
  • Socially confident
  • Decisive and action-oriented
  • Creative
  • Eager to learn
  • Resilient

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