Chief Data Architect

18 hours ago

Chennai, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Enterprise Data Visionary

We are seeking an Enterprise Data Visionary who can design next-generation enterprise data architectures, leveraging cutting-edge GenAI platforms to accelerate data insights and innovation.

Job Description:

The ideal candidate will have a strong foundation in RDBMS design, data modeling, and schema optimization, with advanced skills in SQL (performance tuning, complex queries, analytics functions). They will also possess expertise in cloud data platforms (AWS Redshift, Azure Synapse, GCP BigQuery, Snowflake) and understanding of GenAI frameworks (OpenAI, Vertex AI, Bedrock, Azure OpenAI) for data generation, automation, and summarization.

Key Responsibilities:
  • Analyze and understand enterprise-wide data sources, including structured and unstructured datasets.
  • Design and implement data models and architectures to support dynamic reporting, advanced analytics, and predictive capabilities.
  • Architect scalable data pipelines, warehouses, and lakehouse solutions with high performance and reliability.
  • Integrate GenAI solutions to generate insights, automate documentation, and enhance data accessibility across the organization.
Required Skills & Qualifications:
  • 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 (OpenAI, Vertex AI, Bedrock, Azure OpenAI) 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.
Preferred Qualifications:
  • 8+ years of experience in data architecture, enterprise data strategy, or data modernization programs.
  • Hands-on with AI-driven analytics and GenAI adoption in enterprise environments.
  • Knowledge of enterprise architecture frameworks (TOGAF, DAMA-DMBOK).

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