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Enterprise Data Architect

Remote / Online - Candidates ideally in
Eden Prairie, Hennepin County, Minnesota, 55344, USA
Listing for: Bright Vision Technologies
Full Time, Remote/Work from Home position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

Enterprise Data Architect - Remote

Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.

Job Title: Enterprise Data Architect
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $100,000–$150,000 Annually
Experience

Required:

6+ years

Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.

Job Summary

We are seeking an Enterprise Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity.

Key Responsibilities
  • 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.
  • Architectlakehouse, warehouse, and streaming patternsleveragingtechnologies such as Snowflake, Databricks,Big Query, 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, orDataHub.
  • 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.
  • Lead architecture reviews and provide guidance on pipeline and warehouse design proposals across teams.
  • Drive cost optimization and capacity planning across the data platform estate.
  • 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.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, ora related field.
  • Eight or more years of experience in data engineering, with significant timein architecture roles.
  • Deepexpertiseacross at least two major data platforms such as Snowflake, Databricks,Big Query, or Redshift.
  • Strong understanding oflakehousearchitectures, modern table formats, and streaming systems.
  • Hands-on experience with Spark, Flink, or Kafka at production scale.
  • Strong data modelingexpertiseacross 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 recordof leading large data platform initiatives across teams.
Preferred Qualifications
  • Experience with data mesh or data product architectures.
  • Familiarity with semantic layers such asdbt

    Semantic Layer, Cube, orLookML.
  • Exposure to regulated industries with strict data residency or audit requirements.
  • Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP).
  • Public talks or writing on data architecture.

Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information,…

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