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Enterprise Data Strategist

2 weeks ago

Chennai, Tamil Nadu, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Job Title:

Data Architect Specialist



We are seeking an experienced Data Architect to lead the development of our enterprise data strategy and architecture. The ideal candidate will have a strong foundation in data modeling, schema optimization, and RDBMS design.

Key Responsibilities:
  1. Analyze and understand complex data sources across the organization.
  2. Design and implement scalable data models and architectures to support advanced analytics and predictive capabilities.
  3. Architect cloud-native data pipelines, warehouses, and lakehouse solutions with high performance and reliability.
  4. Integrate GenAI solutions to automate documentation, enhance data accessibility, and generate insights.
  5. Define and enforce data standards, governance, security, and compliance practices across the organization.
  6. Collaborate with business stakeholders, data engineers, AI/ML teams, and analysts to ensure alignment of solutions with business outcomes.

Required Skills & Experience:
  • Strong foundation in RDBMS design, data modeling, and schema optimization.
  • Advanced skills in SQL (performance tuning, complex queries, analytics functions).
  • Proven experience in data warehouse, data lake, or lakehouse architectures.
  • Proficiency in ETL/ELT frameworks and data integration tools (Informatica, Talend, dbt, Glue).
  • Expertise in cloud data platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake).
  • Understanding of GenAI frameworks for data generation, automation, and summarization.
  • Knowledge of data governance, metadata, lineage, and enterprise data quality practices.
  • Experience with real-time streaming (Kafka, Kinesis, Flink) and big data ecosystems (Hadoop, Spark).
  • Familiarity with data science, AI/ML model pipelines, and insight delivery systems.

Benefits:
  • Growth in cloud, AI-driven analytics, and predictive insights engineering.
  • Exposure to cutting-edge GenAI platforms to accelerate data insights and innovation.
  • Working in a collaborative environment where vision drives enterprise data strategies.