Remote opportunity at
Bright Vision TechnologiesData Platform Architect
Bright Vision Technologies is hiring a Data Platform Architect to oversee enterprise data architecture, encompassing ingestion, storage, processing, governance, and consumption layers. Operating on a remote…
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About This Role
Bright Vision Technologies is hiring a Data Platform Architect to oversee enterprise data architecture, encompassing ingestion, storage, processing, governance, and consumption layers. Operating on a remote basis across the United States, this full-time, direct W2 position offers a salary between $100,000 and $175,000 per year. The employer is a technology consulting and software development firm specializing in enterprise, cloud, AI, and data solutions. This role suits professionals with extensive experience…
Job Description
Bright Vision Technologies is hiring a Data Platform Architect to oversee enterprise data architecture, encompassing ingestion, storage, processing, governance, and consumption layers. Operating on a remote basis across the United States, this full-time, direct W2 position offers a salary between $100,000 and $175,000 per year. The employer is a technology consulting and software development firm specializing in enterprise, cloud, AI, and data solutions.
This role suits professionals with extensive experience in data engineering who can define strategic infrastructure direction and establish technical standards. The person in this position will create target-state blueprints, govern data lifecycles, and collaborate with analytics, product, and machine learning teams.
Bright Vision Technologies accepts U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates for this opportunity, though new H-1B visa sponsorships are not available.
Responsibilities
- Develop target-state architecture plans for the enterprise data platform across ingestion, storage, processing, and consumption tiers
- Set standards for schema evolution, data modeling, file formats, partitioning, and storage organization
- Build lakehouse, warehouse, and streaming patterns utilizing platforms like Snowflake, Databricks, BigQuery, Redshift, Iceberg, Delta Lake, or Hudi
- Construct end-to-end pipelines that balance maintainability, reliability, latency, and cost across batch and streaming tasks
- Integrate lineage, governance, and catalog systems such as Collibra, Alation, Atlan, Unity Catalog, or DataHub
- Implement security measures including encryption, data masking, row- and column-level controls, and identity-aware access
- Collaborate with BI, machine learning, and product groups to align platform capabilities with consumer requirements
- Promote data product and data contract principles to improve quality, ownership, and decoupling
- Conduct architecture reviews and evaluate pipeline or warehouse proposals from various teams
- Manage capacity planning and drive cost optimization across the platform estate
- Plan high-availability, multi-region, and disaster recovery strategies for critical assets
- Coach architects and data engineers regarding emerging best practices and platform standards
- Create architecture diagrams, reference patterns, and decision records
- Monitor open-source developments, vendor offerings, and ongoing data platform research
Requirements
- Minimum of 12 years of professional data engineering experience with substantial architecture background
- Deep technical mastery of at least two major data platforms including Snowflake, Databricks, BigQuery, or Redshift
- Solid understanding of streaming systems, modern table formats, and lakehouse architectures
- Production-scale operational experience with Spark, Flink, or Kafka
- Extensive data modeling knowledge across normalized, dimensional, and data-vault patterns
- Practical background in setting up lineage, governance, and catalog tools
- Thorough knowledge of cloud platforms, identity management, networking, and cost control
- Advanced facilitation, stakeholder management, and communication abilities
- Demonstrated history of steering large-scale data platform programs across teams
Qualifications
- Bachelor's or Master's degree in Information Systems, Computer Science, or a related field
- Background in data mesh or data product architectural frameworks
- Familiarity with semantic layers such as Cube, dbt Semantic Layer, or LookML
- Exposure to highly regulated industries requiring strict data residency or audit compliance
- Platform or cloud certifications from vendors such as Databricks, Snowflake, AWS, Azure, or GCP
- History of writing or public speaking on topics related to data architecture
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting specifies that the job is 100% remote within the United States.
What is the salary range for this role?
The annual salary range is $100,000 to $175,000.
Does the employer offer visa sponsorship?
The company accepts U.S. citizens, Green Card holders, EAD holders, and H-1B transfer candidates, but cannot sponsor new H-1B visa petitions for this opening.
How can I apply?
Candidates can submit their resume for immediate consideration by contacting the employer via phone at (908) 505-3899 or through the contact details provided in the job posting.
Sample Interview Questions
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