Source Job

• Define large-scale data architecture decisions for batch/streaming platforms, warehouses, and lakehouses.
• Architect observability, alerting, and incident-response frameworks to monitor data pipeline health and SLAs.
• Partner across teams to define standards for data quality, lineage, access control, and governance.

Applied Systems builds technology that solves real problems for insurance professionals. With over 40 years of experience, the company fosters a people-first culture built on trust, inclusion, and growth.

• Lead complex data architecture initiatives across clients, defining strategies that connect business goals, semantic logic, and platform realities.
• Serve as a senior advisor on architecture maturity, governance, and scalable design while influencing executive stakeholders.
• Contribute to thought leadership, mentor practitioners, and define reusable frameworks to elevate delivery consistency.

Valtech is the experience innovation company that helps leading global brands unlock value through data, AI, technology, and experience transformation. We have a global, borderless framework and a culture that fosters creativity, diversity, and autonomy.

• Design and execute the enterprise data architecture strategy for commercial growth.
• Oversee data pipelines, ERP data models, and integration of internal and third-party data.
• Serve as design authority for commercial-data initiatives, translating priorities into roadmaps.

REGENXBIO is a biotechnology company focused on developing AAV gene therapies for patients. They have an exceptional team and core values of Trust, Accountability, Perseverance, and Innovation.

• Lead the definition and implementation of the enterprise architectural data vision, enhancing organizational agility and innovation across data domain landscapes.
• Serve as a key advisor to executive leadership and cross-functional partners to design a roadmap for a unified data platform supporting advanced analytics, reporting, and AI/ML.
• Drive enterprise-wide transformation by establishing rigorous data modeling, lineage, and quality standards embedded into development and operational lifecycles.

Oura empowers every person to own their inner potential through our award-winning products that help our global community gain deeper knowledge of their readiness, activity, and sleep quality. We are a quickly growing company focused on helping people live healthier and happier lives, and we ensure our team members have what they need to do their best work.

• Define and govern scalable enterprise data and integration architectures across Microsoft Fabric, Azure, and core business systems.
• Partner with business stakeholders, data teams, and IT to translate requirements into technical blueprints and long-term platform roadmaps.
• Drive platform cost optimization, performance tuning, and ensure compliance with security, confidentiality, and regulatory standards.

Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. The company values diversity and innovation, has been recognized with awards for engineering excellence and work-life balance, and fosters an inclusive culture.

• Lead the design and implementation of the enterprise data warehouse on Databricks, migrating from BigQuery.
• Build scalable ETL/ELT pipelines and dimensional data models to support internal analytics.
• Establish data warehouse standards, governance, and best practices across the organization.

Bloomerang is a nonprofit giving platform that helps tens of thousands of nonprofits raise more, recruit more, and retain more. The company has a mission-driven culture built on core values of Simplify, Care, and Act.

• Lead and define overall architecture, data, and cloud strategy for largest client accounts.
• Confidently engage with C-level executives to align strategic objectives with Celonis technical strategy.
• Drive innovation by identifying solutions using emergent technologies like Agentic AI.

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world's fastest-growing enterprise SaaS companies, we have more than 20 offices worldwide.

• Designing enterprise data warehouse architectures and data models.
• Defining data integration strategies across multiple source systems.
• Creating architecture and technical design documentation.

Goods & Services is a product design and engineering company that solves mission-critical challenges for large enterprises. Headquartered in the US, they have regional development centers in Mexico and the UK, operating with a nearshore model.

• Lead the definition and implementation of enterprise data architecture and governance frameworks.
• Assess current reporting landscape, identify root causes of fragmentation, and propose a target-state architecture.
• Facilitate cross-functional alignment to establish trusted, scalable, and decision-ready enterprise data.

Turnitin is a recognized innovator in global education, developing learning integrity solutions that support critical thinking. With over 16,000 academic institution clients in more than 185 countries, they offer a remote-first culture and a diverse team across over 35 countries.

• Lead the design and delivery of scalable data solutions within a modern data engineering environment.
• Act as a technical leader collaborating with business and IT stakeholders to transform complex requirements into effective architectures.
• Build and optimize data platforms using advanced technologies such as Python, Snowflake, and SQL.

The partner company focuses on data-driven solutions and modern data engineering. The company size is not disclosed, but it offers remote work and collaboration with global teams.

• Design and deliver scalable data integration and analytics architectures using Microsoft Azure and on-prem technologies.
• Lead project implementations, mentor junior team members, and support pre-sales efforts with technical expertise.
• Own the project backlog, sprint planning, task estimations, and ensure projects stay on track within budget.

MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights. Established in 2002, it has grown into one of the largest US-based solution partners in Microsoft Business Applications and Azure Data & AI, and is a fifteen-time Microsoft Partner of the Year and three-time Inc. Best Workplaces award winner.

• Define and execute the long-term data strategy and architecture, ensuring scalable, reliable, and trusted data foundations.
• Design, build, maintain, and optimize high-impact data pipelines connecting business systems, internal platforms, and data warehouses.
• Lead a multidisciplinary Data organization spanning Data Engineering, Machine Learning Engineering, and Analytics, driving team growth and technical excellence.

This company is a fast-growing technology organization that leverages data and AI to drive innovation. It fosters a collaborative environment with a strong emphasis on growth, ownership, and technical excellence.

• Own the end-to-end architecture of a federated, multi-institution medallion lakehouse on Azure Databricks and Microsoft Fabric.
• Define the federated, multi-tenant design that separates centrally governed shared layer from institution-administered catalogs.
• Provide hands-on design authority and technical guidance to data engineers, BI developers, and governance staff.

CampusWorks redefines how higher education institutions use technology and managed services to drive transformation and student success. Founded in 1999, it is a large consulting firm that offers a virtual and onsite workplace, with team members across the U.S. and Canada.

• Lead enterprise data and analytics strategy, ensuring alignment with long-term business objectives and organizational priorities.
• Oversee data engineering, reporting, dashboards, semantic models, curated datasets, and analytics platforms to support informed decision-making.
• Partner with business leaders and IT teams to identify high-value initiatives and deliver impactful data solutions.

Jobgether uses AI-powered matching to connect candidates with hiring companies, ensuring fast and fair application reviews. They process personal data for recruitment and may use AI tools to assist in hiring decisions.

• Own the end-to-end data platform architecture from source systems to serving, deciding where the stack consolidates.
• Design the path for order data as it moves off the legacy monolith onto a new source of truth.
• Bring real modeling rigor and a single semantic layer for core metrics like revenue, conversion, and retention.

Owner is an AI-native platform that helps local business owners, starting with restaurants, run their operations including website, online ordering, CRM, and POS. The company has a team of low hundreds and fosters a remote-first, global culture.

• Lead the design and optimization of modern data architectures for AI-driven applications.
• Manage hybrid database environments and implement ETL/ELT strategies.
• Act as a technical advisor and collaborate with engineering teams to deliver scalable solutions.

The partner company specializes in designing and building advanced data platforms for AI-driven applications. They foster a collaborative and inclusive culture with a focus on continuous learning and professional development.

• Lead the architecture and evolution of our data platform, shaping how data is ingested, modelled, governed, and consumed across the business.
• Set technical direction for the data engineering team, establishing standards for quality, reliability, and production readiness.
• Build data infrastructure on AWS using Terraform, ensuring consistency and reproducibility across environments.

Safeguard Global helps 1,500+ customers hire, manage, and pay employees in nearly 190 countries. With offices worldwide and a workforce in 50+ countries, we emphasize a human-centered culture that values autonomy and flexibility.

• Define and own the strategic architecture of Foodsmart's data platform, setting technical direction for scalable and governed data infrastructure.
• Lead design and implementation of next-generation data pipelines, data models, and platform capabilities for advanced analytics and machine learning.
• Establish company-wide standards for data quality, governance, security, and compliance, acting as a cross-functional technical leader.

Foodsmart is the leading Foodcare platform in the U.S., delivering nutrition-driven healthcare at scale through a national network of Registered Dietitians. The company serves over 3 million members, secured a $200 million investment in 2024, and values a customer-first, collaborative culture.

• Lead the design and development of enterprise data architecture for an integrated care platform.
• Architect scalable data platforms and leverage AI to enhance operational efficiency.
• Establish data governance, integration patterns, and cloud-based solutions using Azure services.

Our client is an award-winning HealthTech IT services company providing digital health and AI development solutions for enterprises from startups to Fortune 20 companies. They have designed systems for over 100 companies, including Penn Medicine and Merck, and have won multiple awards like Fast Company World Changing Ideas and Daveys Gold.

• Define and drive enterprise data and AI architecture strategy, roadmaps, and reference architectures.
• Lead architecture for enterprise data platforms, analytics ecosystems, and AI-enabled solutions.
• Partner with Product, Engineering, Data, and Analytics teams to deliver AI-ready data foundations.

AvidXchange is a leading provider of accounts payable automation software and payment solutions for middle-market businesses. We are a company of over 1,500 teammates and are proud to be a Great Place to Work®.