Job Description
Position - BI / Data Architect
Experience - 12+ Years
Location - Remote
Type - Full Time
Job Description
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.
Numbers & Facts
| Location | |
| Job Type | Temporary, Contractor, Full-time |
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