BI / Data Architect

• Must Have Technical/Functional Skills
• Apache Iceberg, Spark, Flink, Kafka, dbt, Trino, Snowflake, Databricks
• AWS, Azure, or Google Cloud
• Python, Scala, SQL, Java
• Kubernetes, Docker, Terraform
• Airflow, Dagster, or Prefect
• Polaris, Unity Catalog, Glue Catalog, Apache Nessie
• Roles & Responsibilities
• Define enterprise lakehouse architecture, standards, governance, and implementation roadmap.
• Design and build Apache Iceberg-based Bronze, Silver, and Gold data layers.
• Develop ingestion frameworks for batch, streaming, CDC, APIs, and event-driven integrations.
• Build scalable Spark, Flink, Kafka, dbt, SQL, and Python pipelines.
• Implement metadata management, cataloging, lineage, RBAC, encryption, and data quality.
• Optimize partitioning, compaction, snapshots, metadata, and query performance.
• Enable AI-ready semantic layers, feature engineering, RAG, and GenAI workloads.
• Implement Infrastructure as Code, CI/CD, monitoring, and observability.
• Discretionary Annual Incentive.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Aut& Home Insurance, Identity Theft Protection.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.

None flagged.