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Chief Data Visionary

3 weeks ago

Agra, Uttar Pradesh, India beBeeData Full time ₹ 13,82,400 - ₹ 25,16,800
Lead Data Strategist

Job Summary:

We seek a skilled Lead Data Strategist who will spearhead the development and implementation of our data architecture strategy. This visionary will be responsible for designing, building, and optimizing our data ecosystem, ensuring seamless integration across multiple systems.

Key Responsibilities
  • Data Architecture (70%)
    • Design and implement scalable and secure enterprise data architectures, including data lakes, warehouses, and real-time streaming solutions.
    • Develop and maintain data pipelines (ETL/ELT) for structured and unstructured data across multiple systems.
    • Create and maintain conceptual, logical, and physical data models to ensure consistency, reuse, and governance.
    • Optimize database performance (SQL/NoSQL) and implement partitioning, indexing, and query tuning strategies.
    • Deploy and manage data solutions using cloud-native tools (AWS Glue, Redshift, Azure Synapse, GCP BigQuery, etc.).
    • Implement data security frameworks (encryption, access control, GDPR, HIPAA compliance, etc.).
    • Introduce and oversee metadata management, MDM, and data lineage tracking using industry-standard tools.
    • Stay current with emerging technologies (e.g., AI/ML data pipelines, graph databases, lakehouse platforms).
  • Leadership & Strategic (30%)
    • Serve as the data architecture authority, defining standards, frameworks, and best practices.
    • Lead and mentor Data Engineers, BI Developers, and Analysts in architecture principles and implementation.
    • Partner with Product, Engineering, and Business teams to translate requirements into data-driven solutions.
    • Drive adoption of data governance and data quality frameworks across the organization.
    • Provide technical leadership in solution design reviews, architecture boards, and strategic planning sessions.
    • Evaluate vendor tools and make recommendations for long-term scalability and cost optimization.

Required Skills and Qualifications:

  • Strong expertise in SQL, Python, or Scala for data processing and transformations.
  • Proven experience with ETL/ELT frameworks (dbt, Informatica, Talend, Apache NiFi, Airflow).
  • Hands-on experience with cloud data platforms (AWS: Redshift/Glue/Lake Formation; Azure: Synapse/Data Factory; GCP: BigQuery/Dataflow).
  • Knowledge of real-time data streaming (Kafka, Kinesis, Spark Streaming).
  • Strong foundation in data modeling (3NF, dimensional, star/snowflake schemas, data vault).
  • Familiarity with DevOps for data (CI/CD pipelines, Infrastructure as Code, Terraform, Git).
  • Knowledge of big data frameworks (Hadoop ecosystem, Spark).
  • Understanding of data security, governance, and compliance frameworks.
  • Strong communication skills with the ability to influence and guide technical and business teams.