Hiring: Data Platform Architect Company: Bright Vision Technologies Location: Cranberry Township, PA Job Posted Time: 2026-09-16 20:30:50 Employment Type: Full-time / Remote Target Skills & Keywords : AWS, Azure, BigQuery, Data Mesh, Data Pipeline, Databricks, Delta Lake, Encryption, Flink, GCP, Iceberg, Kafka, Redshift, Snowflake, Spark, Stakeholder Management, Vault, dbt About the job Required Skills: •Define the target-state architecture of the enterprise data platform, including ingestion, storage, processing, and consumption layers •Establish standards for data modeling, schema evolution, partitioning, file formats, and storage organization •Architect lakehouse, warehouse, and streaming patterns leveraging technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi •Design end-to-end data pipelines that balance latency, cost, reliability, and maintainability across batch and streaming workloads •Lead the integration of governance, lineage, and catalog tools such as Collibra, Alation, Atlan, Unity Catalog, or DataHub •Define security architecture including row- and column-level controls, masking, encryption, and identity-aware access patterns •Partner with ML, BI, and product teams to ensure platform capabilities align with downstream consumption needs •Establish data contract and data product principles to drive ownership, quality, and decoupling between producers and consumers Qualifications: •Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field •Eight or more years of experience in data engineering, with significant time in architecture roles •Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift •In-depth knowledge of lakehouse architectures, modern table formats, and streaming systems •Applied hands-on capability in Spark, Flink, or Kafka at production scale •Strong data modeling expertise across dimensional, normalized, and data-vault patterns •Solid grasp of cloud platforms, networking, identity, and cost optimization •Excellent communication, facilitation, and stakeholder management skills •Track record of leading large data platform initiatives across teams •Operational familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML Compensation: •$100,000 - $175,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!