Enterprise Data Architect
About The Position
Bright Vision Technologies is seeking an Enterprise Data Architect to define and lead the architecture of its enterprise data platform across ingestion, storage, processing, governance, and consumption. The role sets the strategic direction for data infrastructure, establishes standards for data modeling and lifecycle management, and partners with data engineering, analytics, machine learning, and business stakeholders to deliver a coherent, scalable data foundation. The position calls for deep technical expertise in modern data platforms, sound architectural judgment, and experience leading data-platform programs of meaningful scope and complexity. The role is 100% remote within the United States, full-time, and direct W-2. The listed annual salary range is $100,000–$150,000. The employer welcomes applications from U.S. citizens, green card holders, EAD holders, and H-1B transfer candidates; it cannot sponsor new H-1B visa petitions for this position.
Requirements
- Bachelor’s or master’s degree in Computer Science, Information Systems, or a related field.
- Eight or more years of experience in data engineering, including significant experience in architecture roles.
- Deep expertise in at least two major data platforms, such as Snowflake, Databricks, BigQuery, or Redshift.
- Strong understanding of lakehouse architectures, modern table formats, and streaming systems.
- Hands-on experience with Spark, Flink, or Kafka at production scale.
- Strong data modeling expertise across dimensional, normalized, and data-vault patterns.
- Experience implementing governance, lineage, and catalog capabilities.
- 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.
Nice To Haves
- Experience with data mesh or data product architectures.
- Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML.
- Exposure to regulated industries with strict data residency or audit requirements.
- Cloud or platform certifications, such as Snowflake, Databricks, AWS, Azure, or GCP.
- Public talks or writing on data architecture.
Responsibilities
- Define the target-state enterprise data platform architecture, 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 using platforms and technologies such as Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi.
- Design end-to-end batch and streaming data pipelines that balance latency, cost, reliability, and maintainability.
- Lead integration of data 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 machine learning, business intelligence, and product teams to align platform capabilities with downstream consumption needs.
- Establish data contract and data product principles to support ownership, quality, and decoupling between producers and consumers.
- Lead architecture reviews and advise teams on pipeline and warehouse design proposals.
- Drive data-platform cost optimization and capacity planning.
- Design disaster recovery, multi-region, and high-availability strategies for critical data assets.
- Mentor data engineers and architects on platform standards and emerging best practices.
- Produce architecture artifacts, including context diagrams, decision records, and reference patterns.
- Stay current with data-platform research, vendor offerings, and open-source ecosystem developments.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
