
Empowering economic freedom through innovative financial solutions
Block, headquartered in San Francisco, California, is a financial technology company that provides a suite of products including Square, Cash App, and TIDAL. With over 50 million monthly active users, Block is focused on economic empowerment through accessible financial services. The company went pu...
Block offers competitive salaries, equity options, generous PTO policies, and comprehensive health benefits. Employees enjoy a flexible remote work po...
Block fosters a culture of inclusivity and innovation, encouraging diverse perspectives to drive solutions. The company emphasizes collaboration acros...

Block • New York, NY, United States of America
Block is hiring a Head of Data Engineering for their Financial Platform to lead the team responsible for the financial data backbone. You'll oversee data warehouses and lakehouse systems, ensuring the delivery of trusted data products. This role requires expertise in data engineering and analytics.
You have extensive experience in data engineering, with a proven track record of managing teams that build and maintain data infrastructure. Your leadership skills enable you to guide your team in developing financial data pipelines and models that support automation and monitoring. You understand the importance of delivering trusted data products that empower operational decision-making across various teams.
You possess a deep understanding of data warehouse and lakehouse architectures, and you are adept at overseeing the strategy and architecture for financial data systems. Your experience includes working with core financial domains such as acquiring, issuing, chargebacks, and disputes, ensuring that the data backbone supports accurate reporting and analytics.
You are a strong communicator who can collaborate effectively with cross-functional teams, including finance, product, and engineering. You thrive in environments that require diverse perspectives and innovative solutions, and you are committed to fostering an inclusive team culture.
Experience with AI-driven decision support systems is a plus, as is familiarity with the financial technology landscape. You are comfortable navigating complex data challenges and are always looking for ways to improve data quality and accessibility.
In this role, you will lead and grow the FinPlat data engineering team, ensuring that they build and maintain the financial data warehouse and lakehouse foundations. You will own the strategy for financial data pipelines, focusing on automation and monitoring to enhance operational efficiency. Your leadership will be crucial in delivering data products that support accurate decision-making across Block's payment and money movement flows.
You will oversee the architecture of data systems that power reporting and analytics, ensuring that they meet the needs of various stakeholders. Your role will involve collaborating with product and finance teams to understand their data requirements and translating those into actionable data solutions.
You will also be responsible for mentoring team members, fostering their professional growth, and encouraging a culture of innovation and continuous improvement. By leveraging your expertise, you will help shape the future of Block's financial data capabilities, driving initiatives that enhance data accessibility and usability.
Block is committed to economic empowerment, and as part of our team, you will play a vital role in shaping the financial landscape. We offer a flexible work environment, allowing you to work from anywhere in the USA. Our culture values diverse perspectives and encourages collaboration across teams.
You will have the opportunity to work on impactful projects that transform how customers manage their finances. We believe in supporting our employees' growth and development, providing resources and opportunities for continuous learning.
Join us at Block, where your contributions will help build a financial system that is open to everyone. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse backgrounds and perspectives.
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