Key Responsibilities

Design enterprise-scale Data Big Data Analytics and AI platforms
Architect Data Lakes Lakehouses Data Warehouses Data Marts and Big Data environments
Design architectures supporting structured semi-structured and unstructured data
Establish data platform standards reference architectures and best practices
Design highly scalable batch streaming and real-time data processing ecosystems
Define enterprise patterns for data ingestion integration transformation orchestration and delivery
Design and govern data architectures supporting AI Machine Learning Advanced Analytics and Generative AI workloads
Ensure enterprise data is discoverable trusted governed and consumable for AI initiatives
Design metadata lineage cataloging and semantic layer capabilities required for AI adoption
Establish architecture standards supporting RAG Knowledge Graphs Vector Stores AI Agents and MLOps platforms
Define processes and controls to improve data quality and data reliability for AI model training and inference
Collaborate with Data Science and AI teams to ensure data platforms meet AI readiness requirements

Required Skills

10 years of experience in Data Architecture Big Data Architecture or Enterprise Information Management
Strong hands-on experience designing and implementing enterprise on-premises data platforms
Proven experience designing large-scale Data Warehouses Data Lakes and Lakehouse platforms
Experience designing Big Data environments handling high-volume and high-velocity workloads
Experience establishing enterprise data governance and data quality frameworks
Experience supporting AI Machine Learning and Advanced Analytics initiatives through enterprise data architecture
Experience working with distributed processing and storage platforms
Spark Kafka Iceberg Airflow NiFi Trino Flink HDFS Ozone MinIO Cloudera and Stackable
PostgreSQL Oracle SQL Server and MongoDB
Vector Databases and Knowledge Graph Platforms
Ataccama Alation Collibra OpenLineage and Informatica
Power BI Tableau and Superset

Required Skills:

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Employment Type : Full Time
Experience: years
Vacancy: 1