Source Job

• Build and maintain data governance policies, classification standards, ownership model, and exception process.
• Own data access governance for the lakehouse and analytics stack, including entitlement standards and periodic access reviews.
• Support sensitive and cross-border data requests, including PII handling and regional data flows.

Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, and more. We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world.

• Lead end-to-end data governance workstreams including data cataloging, data quality, metadata management, lineage, and access control frameworks.
• Translate client business needs into governance solutions and roadmaps without requiring significant oversight.
• Create, socialize, and implement data governance policies, procedures, and frameworks for clients while ensuring compliance.

Lovelytics helps enterprises modernize their data and implement AI, delivering over $2B in business value for Fortune 500 clients. They have grown from 85 to 500+ people across the Americas, maintaining a technically excellent, low-ego culture that earned them a Best Places to Work recognition.

• Develop and implement Snowflake-based governance solutions for data quality, security, and compliance.
• Build automated privacy processes and support data cleanup initiatives to maintain integrity.
• Collaborate with cross-functional teams to design scalable data architecture and pipeline solutions.

Blend is a premier AI services provider, co-creating meaningful impact through data science, AI, and technology. We harness world-class people and data-driven strategy to unlock value for clients, with a focus on innovation and fulfilling work.

• Lead the strategy and execution of the data function, owning the complete data stack and architecture.
• Establish strong data governance practices and scalable dbt models to enable self-service analytics.
• Partner with engineering and business leaders to define KPIs, develop experimentation frameworks, and drive data-driven decisions.

AIOS is a technology company that builds and operates a data platform. They are a rapidly growing organization with a high-performance culture focused on data-driven decision-making.

• Design and own technical architecture of a multi-cloud data and analytics platform serving VA users and Veteran data.
• Lead data architecture modernization, governance, and compliance strategies.
• Collaborate with data engineers, analysts, and VA stakeholders to deliver scalable data products.

Oddball delivers quality software solutions to the federal space. Their team of experienced engineering, product, and UX professionals values learning and growth in a rapidly growing company.

• Design and own ingestion pipelines from PostgreSQL and Kafka into the analytical platform.
• Establish data governance practices including access controls, audit logging, and data lineage.
• Define data quality, validation, and reconciliation processes for compliance and reporting.

They are a pre-launch fintech startup building blockchain-based payment infrastructure for real-time movement of digital money. As an early-stage team, they offer a remote-first working environment and the opportunity to build foundational systems from scratch.

• Develop and implement enterprise data catalog strategies and metadata management practices.
• Establish data governance frameworks, including ownership structures and stewardship models.
• Support data quality improvement initiatives and AI readiness through high-quality data assets.

The company is a data solutions provider focused on building trusted, accessible, and well-managed data foundations. The organization is remote-first and emphasizes collaboration, innovation, and long-term data value creation.

• Establish and enforce data governance standards across CRM data models, including definitions, ownership, validation rules, and SLAs.
• Own data hygiene for accounts and contacts, including deduplication, enrichment, and lifecycle management.
• Partner with Sales Ops, GTM Systems, and Marketing Ops to align data architecture with business needs.

Chainguard delivers hardened, secure, and production-ready builds of open source software, helping organizations build faster, stay compliant, and eliminate risk. Backed by top investors and serving Fortune 500 enterprises, Chainguard maintains a remote-first, customer-obsessed culture.

• Lead design and delivery of secure, scalable Azure-based solutions with a focus on data governance and enterprise architecture.
• Provide deep technical expertise in Microsoft Purview and data governance frameworks to modernize data platforms.
• Collaborate with stakeholders, mentor teams, and drive adoption of modern cloud and AI-enabled practices.

The company specializes in delivering secure, scalable cloud solutions with a focus on data governance and enterprise architecture. They maintain a remote-first work environment and emphasize continuous learning and professional growth.

• You will act as a technical reference for Data & Analytics, providing support and guidance on technical needs and incidents.
• You will collaborate on defining data platform components and validating architectures for new projects and use cases.
• You will advise teams on best practices for architecture, security, governance, observability, and cost management.

Devoteam is a technology consulting firm that helps large organizations evolve their data architectures, cloud environments, and security practices. The company fosters a collaborative remote culture and invests in employee development through training, certifications, and performance reviews.

• Support enterprise data transformation initiatives by contributing to data strategy, governance, and quality.
• Coordinate data backlog and assist in establishing governance frameworks and domain ownership.
• Collaborate with cross-functional stakeholders to align data initiatives with organizational priorities.

Our partner is a dynamic international organization focused on enterprise data transformation. They operate in a cross-functional environment and value data governance and strategic decision-making.

• Lead the formalization of enterprise data governance, active metadata management, and data quality to ensure trusted, usable data.
• Standardize data taxonomies, dictionaries, lineage, and ontologies to support AI readiness.
• Empower cross-functional teams and act as a change agent to drive adoption of data governance processes.

RRD is a leading global provider of marketing, packaging, print, and supply chain solutions that elevate engagement across the complete customer journey. The company has 32,000 employees across 28 countries, serving 93% of the Fortune 100.

• Develop and implement enterprise Data and AI Governance frameworks, policies, and standards.
• Establish risk-based governance processes for AI use cases across their lifecycle.
• Partner with cross-functional teams to embed governance into development and change management.

Mercury is a fintech company that provides banking services through partnerships with FDIC-insured banks. It is an Equal Employment Opportunity employer that values diversity and belonging.

• Structure, integrate, and maintain scalable data solutions for credit origination, monitoring, and risk analysis.
• Build and evolve the credit analytics layer including datamarts, indicators, and reusable components.
• Implement data quality, governance, and observability controls while ensuring compliance with LGPD.

Jobgether is an AI-powered recruitment platform that connects candidates with job opportunities using an objective matching process. It operates with a small team, focusing on efficiency, fairness, and data privacy.

• Serve as strategic technical leader for customer accounts, driving implementation and adoption of Immuta's platform.
• Act as critical link between customers and product organization, capturing feedback and market insights.
• Develop technical content and support thought leadership through webinars, briefings, and partner events.

Immuta is a data provisioning company that automates secure, governed data access for enterprises. Founded in 2015, it has raised $267 million and is recognized as a top startup employer with a hybrid workplace.

• Design and build scalable modern data architectures and pipelines across client projects.
• Collaborate with engineering, AI, and product teams to deliver end-to-end data solutions.
• Work remotely from Brazil with international clients on cloud-native data platforms.

• Support the development and adoption of enterprise data governance frameworks and processes.
• Collaborate with business and technology stakeholders to improve data quality, transparency, and accountability.
• Document roles, standards, and guidance for data governance practices across the organization.

This company operates in the healthcare industry, focusing on data governance and management. It is a large organization with a collaborative culture that values data-driven decision-making and innovation.

• Lead the architecture and scalability of a mission-critical data platform.
• Establish data governance, quality standards, and Data-as-a-Product approach.
• Mentor and grow a distributed data engineering team in a remote-first environment.

Our partner is a healthcare technology company focused on improving health outcomes through data-driven insights and AI. They have a remote-first culture and emphasize collaboration, innovation, and professional growth.