Strategic Enterprise Data Leader

2 days ago

Pune, Maharashtra, India beBeeDataArchitect Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Enterprise Data Architect Job Description

We are seeking an experienced Enterprise Data Architect to lead our end-to-end data architecture strategy.

The ideal candidate will have a strong technical background in data modeling, databases, cloud platforms, and integration frameworks.

Key Responsibilities:

  • Design and build scalable and secure enterprise data architecture, including data lakes, warehouses, and real-time streaming solutions.
  • Develop, optimize, 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 Role:

  • 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 & 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.

Qualifications:

  • Bachelor's/Master's degree in Computer Science, Data Engineering, or related field.
  • 8+ years of experience in data engineering/architecture roles with at least 3+ years as a Data Architect.
  • Proven expertise in designing and implementing enterprise-scale, cloud-based data ecosystems.
  • Relevant certifications preferred (AWS Certified Data Analytics, Google Professional Data Engineer, Azure Data Engineer Associate).

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