VP, Data Engineering with a FinTech Platform – Austin, TX

VP Data Engineering With A FinTech Platform Austin TX

Role Overview for VP, Data Engineering with a FinTech Platform – Austin, TX

JRG Partners is proud to partner with a trailblazing, high-growth FinTech platform that is fundamentally reshaping the financial services landscape. Our client, a well-funded and rapidly scaling organization based in the vibrant tech hub of Austin, TX, is seeking a transformative leader to join their executive team as the Vice President of Data Engineering. This is a career-defining opportunity to build and lead a world-class data organization from the ground up, establishing the strategic vision and technical foundation that will power the company’s next phase of explosive growth. As the VP of Data Engineering, you will be the ultimate owner of the company’s data assets, responsible for the entire data lifecycle—from ingestion and processing to storage, security, and accessibility. Reporting directly to the Chief Technology Officer (CTO), you will be a pivotal member of the technology leadership team, tasked with creating a data-driven culture and delivering a highly available, scalable, and secure data platform. Your work will directly enable critical business functions, including advanced analytics, machine learning, product innovation, risk management, and regulatory compliance. This role demands a unique blend of deep technical expertise, strategic foresight, and inspirational leadership. If you are a seasoned data leader with a passion for building great teams and solving complex challenges in the FinTech space, we invite you to apply for this exceptional opportunity.

Key Responsibilities of VP, Data Engineering with a FinTech Platform – Austin, TX

The VP of Data Engineering will have a broad and impactful mandate. Your primary responsibilities will encompass strategic leadership, team development, architectural design, and operational excellence across the entire data domain. Success in this role will be measured by your ability to build a robust data platform that serves as a competitive advantage for the business.

Strategic Vision and Leadership

Develop, articulate, and execute a comprehensive, forward-looking data strategy that aligns with the company’s overarching business goals. Create a multi-year roadmap for data infrastructure, BI, analytics, and data governance. Champion data as a strategic asset across the organization and influence key decisions at the executive level.

Team Building and Mentorship

Recruit, hire, mentor, and lead a high-performing, geographically distributed team of data engineers, data architects, and BI developers. Foster a culture of collaboration, innovation, ownership, and continuous improvement. Set clear goals, provide regular feedback, and create career development paths for your team members.

Data Architecture and Platform Modernization

Lead the design, implementation, and continuous optimization of a secure, scalable, and cost-effective data platform. Oversee the architecture of data lakes, data warehouses, and data marts using cloud-native technologies. Drive the evolution of our data stack, evaluating and adopting best-in-class tools and frameworks. Your leadership will be instrumental in building out and refining our modern data stack to meet future demands.

Data Pipeline and ETL/ELT Development

Supervise the development and operation of robust, fault-tolerant data pipelines for both batch and real-time streaming data. Ensure data is ingested, transformed, and made available to downstream consumers in a timely and reliable manner. Implement best practices for data modeling, data quality, and performance tuning.

Data Governance, Security, and Compliance

Establish and enforce a comprehensive data governance framework. Define policies and procedures for data quality, data lineage, metadata management, and data access control. Partner with legal and compliance teams to ensure the data platform adheres to all relevant industry regulations, such as PCI DSS, GDPR, and CCPA.

Cross-Functional Collaboration and Enablement

Act as a key partner to leaders across Product, Engineering, Marketing, Finance, and Operations. Work closely with them to understand their data requirements and deliver solutions that provide actionable insights. Empower the organization with self-service analytics capabilities and foster widespread data literacy.

Operational Excellence and Performance Management

Implement rigorous monitoring, alerting, and incident response protocols to ensure the high availability and reliability of all data systems. Define and track key performance indicators (KPIs) for data platform health, data quality, and pipeline performance. Drive operational efficiency and manage the cloud data infrastructure budget effectively.

Requirements for the VP, Data Engineering with a FinTech Platform – Austin, TX

We are seeking a candidate with a proven track record of leading data engineering teams in complex, high-stakes environments. The ideal candidate will possess a deep understanding of both technology and business strategy, with a passion for leveraging data to solve real-world problems.

Professional Experience

A minimum of 12-15 years of progressive experience in data engineering, data warehousing, or data platform development, with at least 5-7 years in a senior leadership role (Director, Senior Director, or VP) managing teams of 10 or more engineers.

Domain Expertise

Significant experience within the FinTech industry is strongly required. A deep understanding of financial data models, payment processing systems, lending platforms, risk analytics, or regulatory reporting is highly desirable.

Technical Acumen

Extensive hands-on experience designing, building, and operating large-scale data platforms on a major cloud provider (AWS preferred, GCP or Azure acceptable). Deep expertise in modern data technologies, including data warehousing (Snowflake, Redshift, BigQuery), data processing engines (Spark, Flink), streaming technologies (Kafka, Kinesis), and workflow orchestration tools (Airflow, Dagster, Prefect).

Architectural Leadership

Proven ability to design and implement scalable data architectures, including Lambda or Kappa architectures, data mesh concepts, and event-driven systems. Strong understanding of software engineering principles and best practices (e.g., CI/CD, Infrastructure as Code).

Inspirational Leadership

Demonstrated success in building, scaling, and motivating high-performing, inclusive engineering teams. An empathetic leader who excels at coaching and developing talent.

Strategic and Business Mindset

Ability to translate complex business requirements into a clear technical vision and roadmap. Experience managing budgets, negotiating with vendors, and presenting to executive stakeholders and board members.

Educational Background

Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related quantitative field is required.

Benefits & Perks Offered

Our client offers a highly competitive compensation and benefits package designed to attract and retain top-tier talent. They are committed to providing an environment where employees can do their best work and thrive both professionally and personally.

Executive Compensation

A highly competitive base salary, a significant annual performance-based bonus, and a substantial equity package with meaningful upside potential.

Comprehensive Health and Wellness

Premium medical, dental, and vision insurance plans for you and your dependents with a majority of premiums covered by the company.

Retirement Planning

A 401(k) retirement plan with a generous company matching contribution.

Work-Life Balance

A flexible and generous Paid Time Off (PTO) policy, coupled with company-paid holidays to ensure you have time to recharge.

Family Support

Comprehensive parental leave policies for all new parents.

Professional Growth

A dedicated annual budget for professional development, including conferences, certifications, and continued education.

Relocation Support

A comprehensive relocation package is available for exceptional candidates moving to the Austin, TX area.

Exceptional Work Environment

A modern, collaborative office space in the heart of Austin, complete with catered lunches, a fully stocked kitchen, and regular team-building events.

How to Apply

JRG Partners has been exclusively retained for this critical search. If you are a visionary data leader ready to make a lasting impact on a category-defining FinTech company, we encourage you to apply. To be considered for this opportunity, please submit your resume and a cover letter detailing your relevant experience. We look forward to reviewing your application and discussing this exciting role in more detail.

Job Category: Engineering
Job Type: Full Time
Job Location: Austin, TX

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VP, Data Engineering with a FinTech Platform – Austin, TX

Role Overview for VP, Data Engineering with a FinTech Platform – Austin, TX

JRG Partners is proud to partner with a trailblazing FinTech platform based in the vibrant tech hub of Austin, TX. Our client is on a mission to revolutionize the financial services industry through innovative technology and a customer-centric approach. They are seeking a visionary and strategic Vice President of Data Engineering to lead their data organization into its next phase of growth. This is a critical executive-level position responsible for the entire data ecosystem, from strategic roadmap to architectural design and flawless execution. The ideal candidate is a seasoned leader with deep technical expertise, a passion for building high-performing teams, and a proven track record of leveraging data to drive business success in a fast-paced, regulated environment.

As the VP of Data Engineering, you will be the chief architect and steward of the company’s most valuable asset: its data. You will define the vision for how data is ingested, stored, processed, and served to power everything from real-time analytics and business intelligence to machine learning models and personalized customer experiences. This is not just a leadership role; it is an opportunity to build the data-driven foundation that will power the future of financial services, enabling the company to scale, innovate, and maintain its competitive edge. You will report directly to the Chief Technology Officer and work closely with the executive team to ensure that the data strategy is perfectly aligned with the company’s overarching business objectives. Your leadership will be instrumental in fostering a culture where data is democratized, trusted, and used to make critical decisions at every level of the organization.

Key Responsibilities of VP, Data Engineering with a FinTech Platform – Austin, TX

The VP of Data Engineering will have a broad and impactful scope of responsibilities, encompassing strategic planning, team leadership, technical architecture, and cross-functional collaboration.

Strategic Vision and Leadership

  • Develop, articulate, and execute a comprehensive, long-term data strategy and roadmap that aligns with and accelerates the company’s business goals.
  • Champion a culture of data-driven decision-making throughout the organization, acting as the primary advocate for data as a strategic asset.
  • Stay at the forefront of industry trends, emerging technologies, and best practices in data engineering, cloud computing, AI/ML, and FinTech to drive continuous innovation.
  • Define and manage the data engineering budget, ensuring optimal allocation of resources to achieve strategic objectives and maximize ROI.
  • Establish and monitor key performance indicators (KPIs) for the data platform and the data engineering team to measure success and drive improvement.

Team Building and Mentorship

  • Lead, mentor, and grow a world-class team of data engineers, BI developers, and data architects, fostering an environment of technical excellence, collaboration, and psychological safety.
  • Implement best practices for talent acquisition, onboarding, and professional development to attract and retain top-tier talent in a competitive market.
  • Provide strong technical guidance and career mentorship to team members, empowering them to solve complex challenges and grow their skills.
  • Structure the team for optimal efficiency and scalability, defining roles, responsibilities, and processes that support a high-velocity development lifecycle.

Architectural Excellence and Execution

  • Oversee the design, implementation, and continuous optimization of the company’s end-to-end data architecture, including data lakes, data warehouses, ETL/ELT pipelines, and data streaming platforms.
  • Ensure the data platform is highly scalable, reliable, secure, and cost-effective, capable of supporting exponential data growth and evolving business needs.
  • Champion modern data engineering principles, including DataOps, CI/CD for data pipelines, infrastructure-as-code, and data observability.
  • Lead the evaluation, selection, and implementation of new data technologies, tools, and vendors to enhance the capabilities of the data platform.
  • Drive the development of robust data models and data marts that serve as the ‘single source of truth’ for analytics and reporting across the company.

Data Governance, Security, and Compliance

  • Establish and enforce robust data governance frameworks to ensure the highest standards of data quality, integrity, discoverability, and lineage.
  • Partner closely with Legal, Risk, and Compliance teams to ensure the data platform and all data handling processes adhere to relevant financial regulations (e.g., SOX, GDPR, CCPA).
  • Implement stringent data security protocols, access controls, and encryption standards to protect sensitive customer and financial data from internal and external threats.

Requirements for the VP, Data Engineering with a FinTech Platform – Austin, TX

We are looking for a leader who combines deep technical credibility with exceptional strategic thinking and people management skills. The ideal candidate will meet the following qualifications:

Educational and Professional Experience

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related quantitative field. An advanced degree is a plus.
  • 12+ years of progressive experience in data engineering, data architecture, or software engineering with a focus on data-intensive applications.
  • A minimum of 6 years in a formal leadership role, with a proven track record of building, managing, and scaling high-performing data teams of 15+ members.
  • Direct and substantial experience within the FinTech, banking, payments, or financial services industry is a mandatory requirement for this role due to its regulatory complexity.
  • Demonstrated experience architecting and managing large-scale data platforms in a high-growth, cloud-native environment.

Technical Proficiencies

  • Expert-level knowledge of cloud-based data platforms (AWS, GCP, Azure), with a strong preference for deep expertise in the AWS ecosystem (e.g., S3, Redshift, EMR, Glue, Kinesis, Lambda).
  • Deep experience with modern data warehousing and data lakehouse solutions such as Snowflake, Databricks, or BigQuery.
  • Proficiency in at least one high-level programming language (e.g., Python, Scala, Java) and expertise in SQL.
  • Hands-on experience with modern data stack tools, including data orchestration (e.g., Airflow, Dagster), data transformation (e.g., dbt), and business intelligence (e.g., Tableau, Looker).
  • Strong understanding of both batch and real-time data processing paradigms and architectures (e.g., Lambda, Kappa).
  • Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation) and containerization technologies (e.g., Docker, Kubernetes).

Leadership and Strategic Acumen

  • Exceptional strategic thinking and problem-solving skills, with the ability to translate complex business needs into a clear technical vision and executable plan.
  • Proven ability to lead through influence, build consensus, and forge strong relationships with stakeholders across all levels and functions of an organization.
  • Outstanding communication skills, capable of articulating complex technical concepts to non-technical audiences, including C-level executives.
  • A strong business-centric mindset with a passion for understanding the ‘why’ behind the data and connecting technical solutions to tangible business outcomes.

Benefits & Perks Offered

Our client believes in investing in their people. They offer a comprehensive and competitive benefits package designed to support your professional and personal well-being, including:

  • Highly competitive base salary and performance-based executive bonus plan.
  • Meaningful equity/stock options package.
  • Comprehensive health, dental, and vision insurance for you and your dependents.
  • 401(k) retirement plan with a generous company match.
  • Unlimited Paid Time Off (PTO) and paid company holidays.
  • Generous budget for professional development, conferences, and certifications.
  • Wellness stipend to support your physical and mental health.
  • Relocation assistance package for candidates moving to Austin.
  • A modern, collaborative office space in a prime Austin location with catered lunches and a fully stocked kitchen.

How to Apply

Ready to shape the future of FinTech? This is a unique opportunity to join a category-defining company at a pivotal moment in their growth. JRG Partners is managing this executive search exclusively on behalf of our client. If you are a visionary data leader with the experience and passion to build a world-class data organization, we encourage you to apply. To express your interest and begin the confidential application process, please visit our Technology Recruiting practice page and reference this position. We look forward to connecting with you and discussing how your expertise can drive our client’s success.

Job Category: Technology
Job Type: Full Time
Job Location: Austin, TX

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