Define and lead enterprise data-platform architecture across ingestion, storage, processing, governance, and consumption. Establish standards for data modeling and lifecycle management while partnering with engineering, analytics, machine learning, and business teams. Lead complex data-platform initiatives, implement governance and lineage capabilities, and guide scalable cloud architecture, security, networking, and cost optimization.
Data Solutions 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: Data Solutions Architect
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $150,000–$180,000 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 a Data Solutions 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.
Required Qualifications
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected]. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
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: Data Solutions Architect
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $150,000–$180,000 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 a Data Solutions 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.
Required 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 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.
Would you like to know more about this opportunity? For immediate consideration, please send your resume to [email protected]. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Similar Jobs
Insurance
Lead enterprise data, ontology, cloud, and AI architecture across Palantir, Snowflake, and AWS. Define data models, governance, integration standards, platform roadmaps, and responsible AI patterns. Oversee Palantir Foundry and AIP ontology architecture, event-driven and API integrations, and AI/GenAI workflows. Lead architecture reviews, establish reusable standards, guide engineering teams, develop executive-level business cases, and align technology investments with business outcomes.
Top Skills:
Agentic AiAmazon Api GatewayAmazon BedrockAmazon EventbridgeAmazon MskAmazon S3Amazon SagemakerAmazon SnsAmazon SqsSparkArchimateAWSAws LambdaAws Step FunctionsData MeshData ProductsDomain-Driven DesignGenaiGuidewireInfrastructure As CodeKafkaKnowledge GraphsLlmsPalantir AipPalantir FoundryPythonRagSnowflakeSQLTogaf
Information Technology • Software • Consulting
Leads cloud, infrastructure, data, security, and AI architecture across AWS, Azure, Kubernetes, and infrastructure-as-code environments. Defines reference architectures, landing zones, data platforms, GenAI production patterns, security controls, cost models, and operational standards. Shapes client engagements, technical scope, and roadmaps; guides delivery through design reviews and mentoring. Requires hands-on production architecture experience, strong security and governance expertise, and the ability to operate effectively amid ambiguity.
Top Skills:
Amazon RedshiftAWSAzureDatabricksGenerative AiIamKubernetesLarge Language ModelsMicrosoft FabricRagSnowflakeTerraform
Information Technology • Software • Analytics
Designs and delivers Databricks-based data engineering, analytics, AI, and ML solutions for financial services clients. Combines hands-on architecture and implementation with presales support, customer presentations, project oversight, data analysis, quality assurance, documentation, and team mentoring. Requires expertise in modern data platforms, cloud environments, programming, SQL, data integration, governance, security, and scalable production delivery.
Top Skills:
AdlsAmazon S3Apache AirflowApache NifiSparkAWSAws Data Migration ServiceAws Managed AirflowAzureAzure Data FactoryCassandraDatabricksDbtElasticsearchFivetranGCPGcsHadoopHdfsInformatica Intelligent Cloud ServicesJavaKafkaKuduLuigiMatillionNoSQLPandasPythonScalaScikit-LearnSolrSpark StreamingSQLStreamsets
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
