Salas O'Brien Logo

Salas O'Brien

Engineering Data Architect

Posted Yesterday
Remote
Hiring Remotely in United States
110K-140K Annually
Senior level
Remote
Hiring Remotely in United States
110K-140K Annually
Senior level
Designs and implements the data architecture supporting engineering technology, analytics, automation, and AI. Assesses current systems, defines target architecture and governance, develops data models and ETL/ELT pipelines, integrates engineering platforms, and establishes metadata, lineage, stewardship, access, and quality standards. Partners with engineering and Digital Engineering teams to deliver reusable data assets, dashboards, and analytics solutions while coordinating data protection, platform evaluations, roadmaps, and stakeholder communication.
The summary above was generated by AI

Engineering Data Architect

Salas O’Brien | Digital Engineering

Reports To: Digital Engineering Team Lead
Location: Remote (United States)
Travel: Occasional

About Salas O’Brien

Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team members, and the world.

Job Summary

The Engineering Data Architect establishes the data foundation for engineering technology, project delivery, analytics, automation, and AI. This hands-on role assesses the current environment, defines the target architecture and governance framework, and delivers practical data models, pipelines, integrations, analytics, and quality solutions.

What Success Looks Like

  • A documented current-state assessment, target architecture, and phased implementation roadmap.
  • Consistent engineering data definitions, standards, ownership, lineage, and quality practices.
  • Improved data accessibility and trusted products supporting engineering analytics, automation, and AI.

Responsibilities

  • Assess engineering data sources, definitions, ownership, workflows, quality issues, dependencies, and integration gaps.
  • Define the target-state engineering data architecture, governance framework, and phased implementation roadmap.
  • Establish common models, taxonomies, metadata, lineage, stewardship, access, lifecycle, and quality standards.
  • Design and implement data models, ETL/ELT pipelines, integrations, semantic models, dashboards, and quality tools.
  • Deliver solutions using SQL, Python, Azure, Databricks, Power BI, and related technologies.
  • Integrate Revit, Autodesk Construction Cloud, Autodesk Forma, Autodesk Platform Services, and other engineering or business systems.
  • Partner across engineering and Digital Engineering to create reusable data assets for analytics, automation, AI, and reporting.
  • Coordinate data protection requirements, document decisions, evaluate platforms, and communicate priorities, risks, and outcomes.

Qualifications & Experience

Required

  • Bachelor’s degree in computer science, data engineering, information systems, engineering, or a related field, or equivalent experience.
  • Seven or more years of relevant experience across data architecture, data engineering, analytics, or data governance.
  • Experience delivering enterprise-scale data solutions and modern cloud analytical architectures.
  • Strong SQL, data-modeling, integration, and ETL/ELT skills, with hands-on pipeline and data-quality experience.
  • Knowledge of governance, metadata, lineage, stewardship, access, and lifecycle management.
  • Ability to convert architectural strategy into practical solutions and a realistic roadmap.
  • Strong analytical, facilitation, stakeholder-management, and communication skills.

Preferred

  • Experience with Azure data services, Databricks, lakehouse architecture, Microsoft Fabric, Power BI, and Python.
  • AEC industry experience and familiarity with Revit, BIM, Autodesk Construction Cloud, Autodesk Forma, Autodesk Platform Services, or the AEC Data Model.
  • Experience integrating data with C#/.NET applications or collaborating with C#/.NET development teams.
  • Experience with metadata catalogs, observability, event-driven integrations, APIs, and data architecture for AI or machine learning.

Working Conditions

This is a remote position available to candidates located within the United States. Occasional travel to Salas O’Brien offices, team meetings, and company events is required.

Compensation & Benefits

The expected base salary range for this role is $110,000–$140,000 USD per year. Actual compensation will be determined based on a number of factors including skills, experience, qualifications, and location.

This role is also eligible for performance-based bonuses, equity participation, and a comprehensive U.S.-based benefits package, including:

  • Medical, dental, and vision insurance
  • 401(k) with company match
  • Paid time off and company holidays
  • Wellness programs and employee assistance resources
  • Professional development support
Equal Opportunity Employment Statement

Salas O’Brien provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state/provincial, or local laws. Salas O’Brien will accommodate the disability-related needs of applicants as required by law.

Third-Party Agency Notice

Salas O’Brien does not accept unsolicited resumes from external recruiters or agencies. We only work with approved partners engaged directly by our Talent Acquisition team for specific searches. Unsolicited submissions will not be eligible for placement fees.


Qualifications Education Preferred Bachelors or better. Bachelors or better. Bachelors or better. Experience Required Seven or more years of relevant experience across data architecture, data engineering, analytics, or data governance. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Salas O'Brien Boulder, Colorado, USA Office

4900 Nautilus Ct N, Suite 200, Boulder, United States, 80301

Salas O'Brien Greenwood Village, Colorado, USA Office

9250 East Costilla Avenue, Suite 220, Greenwood Village, United States, 80112

Salas O'Brien Lakewood, Colorado, USA Office

165 South Union Boulevard, Suite 360, Lakewood, United States, 80228

Similar Jobs

11 Days Ago
Remote
US
128K-250K Annually
Senior level
128K-250K Annually
Senior level
Information Technology • Software
Lead presales architecture and engineering for scalable data platforms using Microsoft Fabric and Azure. Responsibilities include client discovery, solution design, technical workshops, proposals, roadmaps, SOWs, demonstrations, and proof-of-concepts. Design data pipelines, warehouses, lakes, streaming architectures, and AI/ML infrastructure while advising on performance, governance, CI/CD, and infrastructure as code. Serve as a trusted technical advisor and Microsoft Fabric subject matter expert while collaborating with sales, governance, and AI architecture teams.
Top Skills: SparkAzureAzure Data FactoryAzure Data Lake StorageAzure DatabricksAzure DevopsAzure Event HubsAzure Sql DatabaseAzure Stream AnalyticsAzure Synapse AnalyticsCi/CdData ModelingData WarehousingEltETLInfrastructure As CodeMicrosoft FabricMicrosoft PurviewOnelakeReal-Time Analytics
11 Days Ago
In-Office or Remote
14 Locations
103K-165K Annually
Senior level
103K-165K Annually
Senior level
Healthtech
Designs and engineers secure data solutions across cloud, hybrid, and on-premises environments. The role conducts security architecture assessments, vulnerability analyses, risk assessments, and gap analyses; develops mitigation strategies; and advises teams on data governance, encryption, identity and access management, application security, cloud security, and secure data exchange. Responsibilities also include evaluating security technologies, implementing protective controls, supporting compliance, and mentoring team members.
Top Skills: SparkAPIsAWSBigQueryCobitData Loss PreventionData MaskingDatabricksDhcpDnsEltEncryptionETLFirewallsGCPHadoopHitrustIds/IpsIpsecIso 27001ItilKafkaKerberosLdapAzurePgpRadiusSAMLSmtpSnmpSnowflakeSshSsl VpnSsl/TlsTcp/IpTokenization
17 Days Ago
Remote
United States
180K-248K Annually
Senior level
180K-248K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
Customer-facing technical leader who architects, builds, and optimizes large-scale data engineering and lakehouse solutions on Databricks. Supports pre-sales and delivery with POCs, performance/load testing, workload sizing, migrations, observability, and adoption through workshops and community engagement.
Top Skills: AWSAzureAzure SynapseDatabricksDelta LakeElasticEmrGCPJavaKafkaMicrosoft SentinelPythonRedshiftScalaSnowflakeSparkSpark StreamingSplunkSQLUnity Catalog

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account