At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available.For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries.As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work!Job OverviewWe are seeking a skilled and strategic Data Architect to design and scale the next-generation data platform powering Mitratech’s GRC product suite. This role sits at the intersection of architecture, data modeling, cloud infrastructure, and modern AI-first data foundations.The ideal candidate will possess a strong background in modern analytics tools and platforms, particularly Snowflake, Terraform, dbt, Airbyte, and Fivetran, combined with expertise in AWS. This role is pivotal in ensuring that our data platform supports the organization’s analytics and business intelligence needs effectively and allows us to scale our solutions and emerging AI use cases across our GRC ecosystem. This is a hands-on role requiring strong ownership, architectural depth, and the ability to partner closely with global stakeholders.Essential Duties & ResponsibilitiesData Architecture & Platform DesignDesign and evolve scalable data architectures on Snowflake within AWSDefine data modeling standards (dimensional, data vault, semantic-ready models)Architect unified data foundations across multiple GRC product domainsEstablish best practices for data governance, access control, and data qualityModern Data Stack OwnershipLead implementation and optimization of: dbt for transformation and modular modeling, Airbyte / Fivetran for ingestion, Airflow for orchestration, Terraform for infrastructure-as-codeDrive CI/CD, DevOps practices, and environment strategy for data platform reliabilityAI-First & Workload-Driven ArchitectureDesign data models and pipelines optimized for AI/ML workloads and LLM-based use casesEnable structured, semantic-ready data layers for conversational analytics and AI-driven insightsArchitect scalable data models and APIs that can support AI-powered product featuresEnsure observability, lineage, and metadata readiness to support intelligent systemsStakeholder & Cross-Functional CollaborationPartner with US-based product, engineering, clients, and leadership teamsTranslate business requirements from GRC domains into scalable technical solutionsDrive architectural discussions and influence data strategy decisionsProduction Ownership & GovernanceOwn reliability, performance optimization, and cost management of the data platformImplement monitoring, data quality frameworks, and SLA-driven processesEnsure security, compliance, and regulatory alignment for sensitive GRC datasetsRequirements & SkillsEducation and Experience: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field8-10 years of experience in Data Engineering / Data Architecture / Cloud Data Platform rolesExperience designing production-grade, scalable, multi-domain data modelsProven experience with tools such as Snowflake, dbt, Terraform, Airbyte, and FivetranExtensive experience with AWS cloud services, including infrastructure design and maintenanceTechnical Skills: Strong knowledge of SQL and data modeling techniques.Familiarity with data integration workflows and ETL/ELT best practicesExperience in DevOps practices and securityLeadership and Collaboration: Strong organizational skills with the ability to manage multiple priorities effectivelyExcellent communication and collaboration skills to work across technical and business teamsProactive problem-solver with a focus on delivering high-quality, scalable solutionsAnalytical and Process Skills: Detail-oriented with a strong focus on data accuracy and system reliabilityAbility to assess platform performance and recommend improvements to meet future requirementsGood to HaveExperience in Compliance or Enterprise Risk domainsExposure to AI/ML workloads, vector storage patterns, or semantic layer designExperience with metadata management and data lineage toolsFamiliarity with cost optimization strategies in Snowflake and AWSWe are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.
Job Title
Data Architect