Lead the implementation and ongoing operation of data quality and reliability frameworks across data ingestion, transformation, and curated data layers.
Establish and manage processes for data quality issue intake, triage, root cause analysis, remediation coordination, and closure.
Define and operationalize technical data quality checks, thresholds, and monitoring standards in partnership with data and platform engineering teams.
Drive strategic and operational excellence across all data quality initiatives within the organization.
Oversee a dedicated team, focusing on enhancing data quality programs and integrating advanced technologies.
Collaborate with various stakeholders, promoting innovative solutions within the legal sector.
Jobgether is a company that uses an AI-powered matching process to ensure candidate applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and the shortlist is then shared directly with the hiring company.
Develop, implement, and sustain a comprehensive data quality framework to systematically monitor, validate, and enhance data accuracy and consistency throughout all systems.
Operationalize the enterprise data governance framework, aligning with stakeholder needs related to data quality, access controls, compliance, privacy, and security.
Partner with data engineers, architects, product teams, and analysts to define data quality requirements and ensure alignment with business objectives.
Abacus Insights aims to unlock the power of data so health plans can enable the right care at the right time—making life better for millions of people. They are backed by $100M from top VCs, and tackle big challenges in an industry that’s ready for change, mastering turning complex healthcare data into clear, actionable insights.
Leads Data Governance teams and complex governance initiatives.
Optimizes governance processes and implements quality and compliance controls.
Translates strategic goals into operational governance plans.
KnowBe4's AI-driven Human Risk Management platform empowers organizations to strengthen their security culture. They are the industry standard with high customer retention and recognition as a Leader by G2 and TrustRadius, with a team that values radical transparency, extreme ownership, and continuous professional development.
Translate business and regulatory requirements into effective data quality controls.
Design, implement, and maintain data quality controls within the central Data Tooling platform.
Monitor control execution, analyze data quality issues, and coordinate remediation with business and IT teams.
Talan is an international consulting and technology expertise group supporting Corporate and Investment Banking (CIB) and Financial Services clients through large-scale transformation programs. With over 20 years of experience and a presence across five continents, the Group is on track to reach 8,000 employees worldwide, including 600 in North America.
Develop and implement a comprehensive data quality strategy that aligns with business objectives and client needs.
Provide visionary leadership to the Data Quality Services team, setting clear objectives and promoting collaboration.
Manage the day-to-day operations of the Data Quality Services team to ensure timely delivery of programs.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company, with final decisions managed by the internal team.
Drive strategic and operational excellence in data quality initiatives.
Lead a dedicated team and oversee the development of business strategies.
Integrate advanced technologies and best practices within the legal sector.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Lead the end-to-end data architecture, designing and implementing data pipelines, warehouses, and lakes that handle petabyte-scale datasets.
Collaborate with product teams to enable data-driven decision-making across the organization.
Establish best practices for data quality, governance, and security while mentoring senior engineers and conducting technical reviews.
Cority is a global enterprise EHS software provider creating industry-leading technology. They have been around for over 35 years and are known for strong employee culture and client satisfaction.
Design and launch our first production-grade data warehouse
Implement reliable ingestion from core clinical and operational systems
Establish data quality and monitoring standards used across engineering
Zócalo Health is a tech-enabled, community-oriented primary care organization. They serve people who have historically been underserved by the one-size-fits-all healthcare system and are scaling rapidly across states and populations.
Drive strategic initiatives and operational excellence for data quality.
Lead a team, collaborating with stakeholders to ensure data accuracy.
Facilitate exceptional client outcomes and unlock new opportunities.
Jobgether is a platform that connects job seekers with partner companies. They use AI-powered matching to ensure applications are reviewed quickly, objectively, and fairly.
Administer and maintain the Atlan Data Catalog, including user onboarding, role/permission configuration, data asset management, and integration with source systems.
Design, Implement, and continuously evolve Kapitus’s Atlan metamodel (custom asset types, custom properties, relationship models, classification taxonomy, business glossary structure, and propagation/lineage rules).
Partner with Data Engineering, Analytics, Product, and business data stewards to ingest and curate technical and business metadata, ensuring accuracy, completeness, and alignment with governance standards.
Kapitus is a reliable and respected name in small business financing. They provide small businesses with the financing they need by being both a direct lender and a marketplace built with a trusted network of lending partners. The company is fast paced, and teammates need to be self-directed.
Build and own Sardine’s internal data infrastructure integrating CRM, marketing, product, finance, and operational systems.
Design, improve, and own ETL/ELT pipelines to ensure clean, reliable, and scalable data flows across the organization.
Partner with data, engineering, revenue/business operations, and executive stakeholders to define and track KPIs.
Sardine is a leader in fraud prevention and AML compliance. Their platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Sardine has over 300 banks, retailers, and fintechs as clients and a remote-first work culture.
Deeply understand business processes to identify key metrics.
Proactively analyze business anomalies and recommend actions.
Define clear, actionable business rules for data integrity.
New Relic is a global team of innovators and pioneers dedicated to shaping the future of observability. At New Relic, they build an intelligent platform that empowers companies to thrive in an AI-first world by giving them unparalleled insight into their complex systems; they are expanding their global footprint.
Play a Sr.tech lead & architect role to build world-class data solutions and applications that power crucial business decisions throughout the organization.
Enable a world-class engineering practice, drive the approach with which we use data, develop backend systems and data models to serve the needs of insights and play an active role in building Atlassian's data-driven culture.
Maintain a high bar for operational data quality and proactively address performance, scale, complexity and security considerations.
At Atlassian, they're motivated by a common goal: to unleash the potential of every team. Their software products help teams all over the planet and their solutions are designed for all types of work. They ensure that their products and culture continue to incorporate everyone's perspectives and experience, and never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.
Define and execute data platform strategy through a 2-3 year roadmap that unifies architecture.
Establish enterprise data quality standards by overhauling governance frameworks, metadata management, and compliance protocols.
Implement business data modeling practices by developing canonical models, semantic layers, and business glossaries.
ezCater is a food for work technology company in the US, connecting workplaces to over 100,000 restaurants nationwide. They provide flexible and scalable solutions for employee meals and meetings, backed by 24/7 customer service and a customizable platform. Backed by top investors, ezCater fosters an innovative, high performing environment.
Design, implement, and optimize robust and scalable data pipelines using SQL, Python, and cloud-based ETL tools such as Databricks.
Enhance our overarching data architecture strategy, assisting in decisions related to data storage, consumption, integration, and management within cloud environments.
Partner with data scientists, BI teams, and other engineering teams to understand and translate complex data requirements into actionable engineering solutions.
The New York Blood Center appears to be a medical organization. They are looking for a Senior Data Engineer to join their team.
Build and lead a focused team for high ownership and fast decision-making.
Own Onebrief’s data model, schema, and evolution strategy.
Lead large-scale architectural change, setting standards for data.
Onebrief is collaboration and AI-powered workflow software designed specifically for military staffs. They operate as an all-remote company with a team spanning veterans from all forces and global organizations, and technologists from leading-edge software companies.
Architect, design, implement, and operate end-to-end data engineering solutions.
Develop and manage robust data integrations with external vendors.
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams.
SmartAsset is an online destination for consumer-focused financial information and advice, helping people make smart financial decisions. With over 59 million people reached each month, they operate SmartAsset Advisor Marketing Platform (AMP) to connect consumers with fiduciary financial advisors.
Build and evolve our semantic layer, design, document, and optimize dbt models.
Develop and maintain ETL/orchestration pipelines to ensure reliable and scalable data flow.
Partner with data analysts, scientists, and stakeholders to enable high-quality data access and experimentation.
Customer.io's platform is used by over 7,500 companies to send billions of emails, push notifications, in-app messages, and SMS every day. They power automated communication and help teams send smarter, more relevant messages using real-time behavioral data; their culture values empathy, transparency, and responsibility.
Own end-to-end quality design for Prolific managed service studies.
Define, implement, and maintain quality measurement systems.
Build and deploy automated quality checks and launch gates using Python and SQL.
Prolific provides the high-quality, diverse data required to train the next generation of AI models. Through our platform, they empower researchers and companies to access a global, ethically curated participant base, ensuring cutting-edge AI research and training grounded in inclusivity and precision.