Enterprise Data Architect

Bright Vision Technologies; Highlands Ranch (CO); Remote; USD 100,000 - 150,000; Full time

Job summary

Bright Vision Technologies is seeking an Enterprise Data Architect for a fully remote role in the United States. The ideal candidate will define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers, and partner with data engineering, analytics, ML, and business stakeholders.

The role requires 6+ years of experience, deep expertise across lakehouse platforms, and a track record of large data initiatives.

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 architecture work.
• Deep expertise across 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.
• Cloud platforms, networking, identity, and cost optimization knowledge.
• Excellent communication and stakeholder management.
• Track record of leading large data platform initiatives across teams.

Responsibilities

• Define target-state architecture for the enterprise data platform across ingestion, storage, processing, and consumption layers.
• Set standards for data modeling, schema evolution, partitioning, file formats, and storage organization.
• Architect lakehouse, warehouse, and streaming patterns using modern tools and platforms.
• Design end-to-end data pipelines balancing latency, cost, and reliability for batch and streaming workloads.
• Lead governance, lineage, and catalog integration across teams and tools.
• Define security architecture including row/column controls, masking, and identity-aware access.
• Collaborate with ML, BI, and product teams to align platform capabilities with downstream needs.
• Drive data product principles to ensure ownership, quality, and decoupling of producers/consumers.
• Lead architecture reviews and provide guidance on pipeline and warehouse design proposals.
• Drive cost optimization and capacity planning for the data platform estate.
• Design disaster recovery, multi-region, and high-availability strategies for critical assets.
• Mentor data engineers and architects on standards and best practices.
• Produce architecture artifacts: context diagrams, decision records, reference patterns.

Skills

Data architecture

Cloud architecture

Leadership

Stakeholder management

Communication

Architecture reviews

Mentoring

Education

Bachelor’s or Master’s degree in Computer Science or Information Systems

Tools

Snowflake

Databricks

BigQuery

Redshift

Iceberg / Delta Lake / Hudi

Collibra / Alation / Atlan / Unity Catalog / DataHub

Spark / Flink / Kafka

Job description

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 aEnterprise 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 architecturaljudgment, andhas 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,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, 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 orMaster’s degree in Computer Science, Information Systems, ora relatedfield.
• Eight or more years of experience in data engineering, withsignificant timein architecture roles.
• Deepexpertiseacross at least two major data platforms such as Snowflake, Databricks,BigQuery, 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 asdbtSemantic 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, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.