Data Architect

Vanasse Hangen Brustlin Inc.

New York (NY)

Hybrid

USD 113,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Best-in-class benefits
Hybrid work environment

Job summary

Vanasse Hangen Brustlin Inc. seeks a Data Architect to lead design and implementation of scalable data architectures supporting enterprise applications, data warehouses, and analytics.

You will partner with cross-functional teams to set standards, drive architectural decisions, and optimize data infrastructure for future growth. This hybrid role offers EST-aligned hours and occasional travel to support enterprise data initiatives, mentoring junior engineers, and shaping the data strategy across

Qualifications

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
  • Minimum 3-5+ years of experience in data architecture or data engineering.
  • Experience designing and implementing enterprise data warehouses and data lakes.
  • Hands-on with cloud-based data technologies and modern data integration tools.
  • Strong database administration, security, performance tuning, and optimization knowledge.
  • Collaborate across technical and business teams to deliver enterprise data solutions.

Responsibilities

  • Design and implement conceptual, logical, and physical data models for enterprise apps, data warehouses, and analytics platforms.
  • Architect end-to-end data solutions, including data integration, storage, access patterns, and migration strategies.
  • Define and enforce data architecture standards, governance frameworks, and best practices.
  • Evaluate and recommend data technologies, tools, and platforms that align with business and technical needs.
  • Collaborate with stakeholders to translate complex requirements into scalable data architectures.
  • Establish and maintain data lineage, metadata management, and data cataloging practices.
  • Design, implement, manage, and maintain databases supporting enterprise apps and analytics.
  • Optimize data architectures for performance, scalability, reliability, and cost efficiency.
  • Lead database tuning, queries, indexing, and resource monitoring; manage security/permissions.
  • Plan upgrades, patches, and enhancements with minimal downtime.
  • Provide technical leadership and mentorship to junior engineers/architects.

Skills

Data modeling
SQL
Python
C#
Cloud data platforms
Data governance
Stakeholder management
Lead projects
ETL/ELT pipelines

Education

Bachelor's degree in CS/IS/Engineering
3-5+ years experience in data architecture

Tools

Azure Data Factory
Azure Synapse
Databricks
SQL Server (SSIS/SSAS/SSRS)
Power BI

Job description

Data Architect

Job Locations: US-MA-Watertown | US-GA-Atlanta | US-DC-Washington | US-NY-New York City | US-NC-Charlotte | US-FL-Orlando

ID: 2026-6217

Category: Technology

Type: Regular Full-Time

Career Stage Type: Experienced

# of Openings: 1

Overview

ABOUT THE POSITION

VHB is seeking a Data Architect to join our growing data team and play a key role in shaping and advancing our enterprise data strategy. In this role, you will lead the design and implementation of scalable data architectures that support critical business objectives while partnering with cross-functional teams to establish standards, drive architectural decisions, and optimize data infrastructure for future growth. This position offers the opportunity to influence strategic direction, provide technical leadership, and mentor junior team members.

This position offers hybrid options from any of VHB's offices, with work hours aligned to the EST time zone. Occasional travel, usually to our headquarters in Watertown, MA, is required.

Please note applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship, now or in the future.

Responsibilities

  • Design and implement conceptual, logical, and physical data models for enterprise applications, data warehouses, and analytics platforms.
  • Architect end-to-end data solutions, including data integration, storage, access patterns, and migration strategies.
  • Define and enforce data architecture standards, governance frameworks, and best practices across the organization.
  • Evaluate and recommend data technologies, tools, and platforms that align with business and technical requirements.
  • Collaborate with business stakeholders and technical teams to translate complex requirements into scalable data architectures.
  • Establish and maintain data lineage, metadata management, and data cataloging practices.
  • Design, implement, manage, and maintain databases that support enterprise applications and data analytics initiatives.
  • Optimize existing data architectures for performance, scalability, reliability, and cost efficiency.
  • Lead database tuning and performance monitoring efforts, including query optimization, indexing strategies, and resource utilization analysis.
  • Manage database security and permissions, including role-based access controls and compliance with internal security policies.
  • Plan and execute database upgrades, patching cycles, and platform enhancements while minimizing downtime.
  • Provide technical leadership and mentorship to junior data engineers and architects and participate in architectural reviews and system improvement initiatives.

Skills and Attributes

  • Strong expertise in data modeling techniques, including dimensional modeling, normalization, and denormalization.
  • Advanced proficiency in SQL and experience with multiple database technologies.
  • Hands-on experience with cloud data platforms, including AWS and/or Azure.
  • Knowledge of data governance frameworks, metadata management, and data quality practices.
  • Strong analytical and problem-solving skills with the ability to balance technical and business requirements.
  • Excellent communication, collaboration, and stakeholder management skills.
  • Demonstrated ability to lead projects and mentor team members.
  • Advanced knowledge of Python and C# programming, preferably in the context of Azure Functions.
  • Experience building ETL/ELT pipelines using Azure Data Factory, Azure Synapse Pipelines, or similar orchestration tools.
  • Experience with SQL Server technologies, including SSIS, SSAS, SSRS, and T-SQL development.
  • Familiarity with modern data platforms such as Databricks is a plus.
  • Highly organized, self-motivated, and capable of managing multiple priorities independently.

Required Qualifications

  • Applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship, now or in the future.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • Minimum of 3-5+ years of experience in data architecture, data engineering, or related technical roles.
  • Demonstrated experience designing and implementing enterprise data warehouses and data lakes.
  • Experience developing scalable data models and enterprise database solutions.
  • Hands-on experience with cloud-based data technologies and modern data integration tools.
  • Strong understanding of database administration, security, performance tuning, and optimization.
  • Proven ability to collaborate across technical and business teams to deliver enterprise data solutions.

Preferred Qualifications

  • Experience with modern data stack technologies, including Databricks.
  • Experience with SOC 2 compliance requirements and security frameworks.
  • Experience leading architectural reviews and enterprise-wide data initiatives.
  • Prior experience mentoring junior engineers, architects, or technical teams.
  • Experience designing data solutions that support advanced analytics and business intelligence initiatives.

Shortlisted candidates will be asked to complete a practical assessment.

The base salary range for this position in Watertown, MA would be between $108,000 - $125,000.

The base salary range for this position in New York would be between $113,000- $130,000.

The base salary range for this position in the Washington DC area would be $108,000 - $125,000.

Offers will be determined based on a number of job-related factors including internal comparators, skills, education, training, credentials, experience, scope and complexity of role responsibilities, and geographic location.

Building what's next, together.

Our people make the difference. We foster a technology-empowered, peopledriven, futureready culture where agility, innovation, and collaboration shape how we work every day.

When you join VHB, you'll find:

  • Meaningful work on complex projects with real community impact
  • A collaborative, inclusive culture that values curiosity and shared success
  • Support to grow your skills and lead through change
  • Learning and development supported by evolving tools and technologies, including AI
  • Best-in-class benefits and a flexible, hybrid work environment

We're growing across the East Coast and are consistently recognized as a great place to work. Ready to shape what's next? Learn more about what sets our employee experience apart and connect with us.

VHB is a proud Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported by deep-rooted core values, one of which is diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law.

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