Data Infrastructure Architect

Bright Vision Technologies

. Define and lead the architecture of the enterprise data platform .

Posted 11/4/2026full-timeRemote • United StatesSeniorLead💰 $175,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and leading enterprise data platform architecture, with a strong focus on data modeling, governance, and cloud infrastructure. Proven ability to drive strategic initiatives and collaborate with cross-functional teams to deliver scalable data solutions.

Highest-signal resume keywords

Data Platform ArchitectureData Modeling ExpertiseCloud Platform CertificationsHands-On Experience with SparkGovernance and Lineage Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData GovernanceData ModelingLakehouse ArchitecturesStreaming SystemsDimensional PatternsNormalized PatternsData-Vault PatternsCloud InfrastructureCost Optimization

Soft Skills

Excellent CommunicationStakeholder ManagementFacilitation Skills

Tools & Technologies

SnowflakeDatabricksBigQueryRedshiftSparkFlinkKafkaDbt Semantic LayerCubeLookML

Certifications & Qualifications

Snowflake CertificationDatabricks CertificationAWS CertificationAzure CertificationGCP Certification

Industry Keywords

Data MeshData Product ArchitecturesRegulated IndustriesData ResidencyAudit Requirements

Tech Stack

Tools & technologies

Amazon RedshiftAWSAzureBigQueryCloudGoogle Cloud PlatformKafkaSnowflakeSparkVault

About the role

Key responsibilities & impact

Define and lead the architecture of the enterprise data platform
Oversee ingestion, storage, processing, governance, and consumption layers
Drive the strategic direction of data infrastructure
Set standards for data modeling and lifecycle management
Partner with data engineering, analytics, ML, and business stakeholders
Deliver a coherent, scalable data foundation
Lead data-platform programs of meaningful scope and complexity

Requirements

What you’ll need

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
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
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 (Snowflake, Databricks, AWS, Azure, GCP)
Public talks or writing on data architecture
U.S. citizenship, Green Card, EAD, or H-1B transfer eligibility; new H-1B sponsorship is unavailable

Benefits

Comp & perks

Competitive compensation package
Comprehensive benefits
Supportive work-life balance
Career growth potential
Continuous learning and growth opportunities