Vice President, Data Engineering at Opportunity Finance Network

Washington, District of Columbia, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Cloud-Based Data Platforms, Data Pipelines, SQL, Python, Data Governance, Business Intelligence, Power BI, Data Modeling, Analytics, Digital Transformation, Collaboration, Change Management, AI/ML Integration, DevOps, Metadata Management

Industry

Financial Services

Description

Description OFN is the nation’s leading investment intermediary and network CDFIs serving rural, urban, and Native communities across the United States. With over $1 billion in total assets under management, OFN manages a national membership network of over 450 mission-driven lenders and CDFIs, including community development loan funds, credit unions, green banks, community development banks, minority depository institutions, and venture capital funds. OFN is a trusted investment partner to the public, private, and philanthropic sectors – foundations, corporations, banks, government agencies, and others. For more than 30 years, our team has helped partners invest in communities to catalyze change and create economic opportunities for people and places traditional finance doesn’t reach. To learn more, visit www.ofn.org People who work at OFN come from a variety of professional and academic backgrounds. If you have: Passion for the mission and true believer in our core purpose. Smart, quick seekers of knowledge who thrive on creating and developing new strategies, products, and programs for increasing capital to communities we serve. Desire to be a collaborative team player who possesses humility and a willingness to learn in all areas of our work. Come be a part of our growing diverse, highly committed, skilled, and collaborative staff. At OFN, we are dedicated to building a diverse, inclusive workplace, so if you are excited about this role but your experience does not align perfectly with every qualification, we encourage you to apply nonetheless. You may be the right candidate for this or other roles. This position is based in Washington, D.C. All staff currently work on a hybrid schedule. OFN is seeking a Vice President, Data Engineering to lead the design, development, and scaling of our enterprise data warehouse and analytics ecosystem. Reporting directly to the SVP of Data, this role is both strategic and hands-on: you will shape the vision for OFN’s data engineering practice while also coding, architecting, and delivering the core systems that power data-driven insights across the organization. This is a pivotal role in OFN’s multi-year digital transformation, which includes the launch of a new Member Portal and the adoption of a Microsoft-first data architecture. The VP will be instrumental in building the technical foundation that supports analytics, member engagement, and AI-driven insights for OFN and its nationwide CDFI network. Key Responsibilities Leadership & strategy Serve as the senior leader for data engineering within OFN, reporting to the SVP of Data. Own the roadmap for OFN’s data platform and associated pipelines, ensuring alignment with organizational strategy and member needs. Partner with leaders across Membership, Research, Policy, Investment Services, and Capitalization to translate business needs into scalable data solutions. Establish engineering best practices, governance frameworks, and processes for documentation, testing, and monitoring. Manage, mentor, and grow a team of data engineers and technical contractors. Technical leadership & development Lead the build-out of OFN’s enterprise data platform in Microsoft Fabric, ensuring scalability, performance, and governance. Actively contribute as a senior developer, writing and reviewing production-quality code while setting engineering standards for the team. Design, build, and maintain data pipelines and integrations that power OFN’s enterprise data platform and reporting ecosystem. Develop efficient, scalable data models and workflows that enable secure analytics, self-service reporting, and advanced insights. Leverage a modern cloud and SaaS-oriented stack (e.g., data warehousing, pipeline automation, BI/visualization, identity/security services) with an emphasis on Microsoft-first solutions. Ensure solutions are architected for long-term extensibility (e.g., LLM-ready data pipelines, unstructured document ingestion, AI/ML integration). Stakeholder Engagement Collaborate with executive leadership to champion the value of data-driven decision making. Communicate complex technical concepts to non-technical stakeholders with clarity and confidence. Act as a change agent within OFN, helping teams adopt new technologies, workflows, and data-driven practices. Candidate Profile Required Qualifications 10+ years of progressive experience in data engineering, with at least 5 years in a leadership or managerial role. Proven ability to architect, build, and scale cloud-based data platforms and pipelines, with hands-on expertise in modern data warehouses (e.g., Microsoft Fabric, Azure Synapse, Databricks, Redshift, or BigQuery). Strong coding proficiency in SQL and a modern programming language (preferably Python) for data transformation, automation, and integration. Experience designing and optimizing data pipelines and ingestion workflows using cloud-native or SaaS tools (e.g., Airbyte, Azure Data Factory, or similar). Demonstrated success in developing secure, performant data models and analytics layers that power enterprise reporting and decision-making. Proficiency in business intelligence and visualization platforms, especially Power BI, with knowledge of comparable tools (Tableau, Looker) a plus. Strong grounding in data governance, metadata management, security frameworks, and role-based access controls, ideally in a Microsoft Azure environment. Track record of leading engineering teams through digital transformation initiatives, balancing high-level architecture with hands-on development and delivery. Requirements Required Qualifications 10+ years of progressive experience in data engineering, with at least 5 years in a leadership or managerial role. Proven ability to architect, build, and scale cloud-based data platforms and pipelines, with hands-on expertise in modern data warehouses (e.g., Microsoft Fabric, Azure Synapse, Databricks, Redshift, or BigQuery). Strong coding proficiency in SQL and a modern programming language (preferably Python) for data transformation, automation, and integration. Experience designing and optimizing data pipelines and ingestion workflows using cloud-native or SaaS tools (e.g., Airbyte, Azure Data Factory, or similar). Demonstrated success in developing secure, performant data models and analytics layers that power enterprise reporting and decision-making. Proficiency in business intelligence and visualization platforms, especially Power BI, with knowledge of comparable tools (Tableau, Looker) a plus. Strong grounding in data governance, metadata management, security frameworks, and role-based access controls, ideally in a Microsoft Azure environment. Track record of leading engineering teams through digital transformation initiatives, balancing high-level architecture with hands-on development and delivery. Experience integrating data from Salesforce and other enterprise systems into a centralized data warehouse. Exposure to unstructured data processing, document intelligence, and natural language models (LLM-ready pipelines). Knowledge of advanced analytics and AI/ML enablement within cloud-based environments. Experience with DevOps/MLOps practices, including CI/CD pipelines, automated testing, and monitoring. Understanding of data cataloging, lineage, and metadata management to support governance and compliance. Personal Characteristics Builder mindset: equally comfortable writing production-quality code and setting high-level architectural direction. Strategic leader: able to define vision, prioritize investments, and gain buy-in from senior stakeholders. Influential communicator: capable of explaining complex technical concepts in clear, accessible language to executives, staff, and external partners. Collaborative and inclusive: proven ability to mentor engineers, foster team growth, and work across functions in a matrixed organization. Change agent: thrives in environments undergoing digital transformation, with resilience to balance long-term strategy and immediate execution. Must possess a passion for, understanding of, and commitment to OFN’s mission. In addition, be a fearless advocate, who is confident and resilient in pursuit of OFN’s work to provide capital to low-income communities across the country. Strong reputation for integrity and good independent judgement that will facilitate raising potentially sensitive issues in a timely and constructive manner. A collaborative team player who possesses the ability to work across all levels of the organization both internally and externally, with appropriate humility, and a willingness to learn in all areas of our work. Work Environment Standard physical requirements for an office position, with limited travel (

Responsibilities

Lead the design, development, and scaling of OFN’s enterprise data warehouse and analytics ecosystem. Shape the vision for OFN’s data engineering practice while also coding, architecting, and delivering core systems that power data-driven insights across the organization.