Architect, Data Governance

Jobgether SRL; United States; On-site; USD 155,000 - 200,000; Full time

Benefits offered by this job

Base salary range

Fully remote US

Office options Arlington

Office options Chicago

Office options New York

Office options Toronto

Job summary

Jobgether SRL in the United States seeks an Architect of Data Governance to shape data and AI governance strategies, align with regulatory requirements, and lead the design of modern data platforms in cloud environments.

You will mentor engineers, guide delivery teams, and contribute to technical proposals, demonstrations, and proofs of concept while collaborating with engineering, sales, and account teams.

Qualifications

• 5+ years in data governance, including 4+ years in a client-facing role.
• DAMA-DMBOK framework expertise.
• Databricks and Spark proficiency.
• Proven pre-sales & POC experience.
• Ability to translate business requirements into scalable technical designs.

Responsibilities

• Formulate data and AI governance strategies aligned with client objectives and regulatory requirements.
• Create governance policies, frameworks, and operating models.
• Lead migrations of complex data architectures to cloud platforms.
• Mentor engineers and review architectures and code.
• Support presales activities including RFPs, demos, and engagement pricing.

Skills

Data governance

Client-facing

Solution architecture

Cloud data

Education

Bachelor's degree

Master's degree

Tools

Databricks

Spark

Unity Catalog

Atlan

Anomalo

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Architect, Data Governance based in United States.

This role focuses on shaping data and AI governance strategies that align with business objectives, regulatory requirements, and industry best practices. You will architect modern data platforms and guide delivery teams in implementing scalable ingestion, transformation, storage, and governance solutions in cloud environments. The position combines hands-on technical leadership with client advisory, solution architecture, and technical presales responsibilities. You will help organizations improve data quality, discoverability, security, accessibility, and readiness for AI use cases. Working closely with engineering, sales, and account teams, you will shape engagements, technical proposals, demonstrations, and proofs of concept. This is an opportunity to influence complex enterprise data transformations while mentoring technical teams and delivering measurable outcomes for clients.

Accountabilities:

• Formulate data and AI governance strategies aligned with client business objectives, regulatory requirements, and industry best practices.
• Create, communicate, and implement data governance policies, procedures, frameworks, and operating models while ensuring compliance.
• Introduce emerging technologies, methodologies, and best practices to strengthen data governance capabilities.
• Develop and execute data and AI governance strategies that improve data discoverability, quality, accessibility, usability, AI use-case evaluation, and AI readiness.
• Lead the migration of complex data architectures from on-premises environments to modern cloud platforms.
• Establish and enforce governance practices that strengthen data security, compliance, and responsible data management.
• Introduce containerization approaches that improve scalability, deployment efficiency, and operational flexibility.
• Mentor engineers, review architectures and code, and guide delivery teams through technical implementation.
• Lead technical discovery sessions and shape solution architectures based on client requirements and business objectives.
• Support technical presales activities, including RFP responses, demonstrations, proofs of concept, and engagement pricing.
• Create technical blueprints and recommend appropriate tools, frameworks, and design patterns for client environments.
• Partner with sales and account teams to scope engagements and showcase data governance expertise throughout the sales cycle.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 5 years of experience in data governance, including at least 4 years in a client-facing role, preferably within a professional services or consulting environment.
• Strong mastery of data governance capabilities and frameworks as defined by DAMA-DMBOK.
• Certification or demonstrated expertise in governance toolsets such as Unity Catalog, Atlan, or Anomalo.
• Expert knowledge of Databricks and Spark is required.
• Proven experience creating technical proofs of concept, delivering technical presales presentations, and developing engagement pricing.
• Demonstrated ability to develop and implement governance strategies that improve data quality, discoverability, accessibility, security, and AI readiness.
• Strong understanding of cloud data architectures and experience leading complex data migrations.
• Excellent client-facing communication skills, with the ability to influence and communicate effectively with both technical and executive stakeholders.
• Strong solution architecture and technical problem-solving skills, with the ability to translate business requirements into scalable technical designs.
• Experience mentoring engineers and guiding technical teams through architecture and implementation decisions.
• Comfortable working across a modern technology environment using Google Workspace, macOS, Slack, and Atlassian tools.
• Strong consulting mindset with the ability to manage multiple priorities, collaborate cross-functionally, and build trusted client relationships.

Benefits:

• Base salary range of $155,000--$200,000 per year.
• Fully remote opportunity within the United States.
• Opportunity to work on complex data and AI transformation initiatives across enterprise environments.
• Exposure to Databricks, cloud technologies, modern data governance platforms, and emerging AI methodologies.
• Opportunity to work directly with technical and executive stakeholders and influence strategic data initiatives.
• Collaborative, technically focused environment with opportunities to mentor engineering teams and contribute to solution architecture.
• Equal opportunity workplace committed to fair and inclusive employment practices.
• Opportunity to work from established offices in Arlington, VA; Chicago, IL; New York, NY; or Toronto, for candidates who prefer an office environment.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.