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Block · 1 month ago

Head of Data Engineering, Financial Platform

Bay Area, CA, United States of America

Full-time

Onsite

Director/Executive

$240K/yr - $359K/yr

12+ years exp

Block is a company built from many blocks, united by the purpose of economic empowerment. The Head of Data Engineering for the Financial Platform will manage the team responsible for the financial data backbone, overseeing data warehouses and lakehouse systems that support core financial domains and ensuring the delivery of trusted data products for operational decision making.

Financial Services

H1B Sponsor Likely

Responsibilities

Lead and grow the FinPlat data engineering team that builds and maintains the financial data warehouse and lakehouse foundations that power operational, analytical, and AI driven decision support systems

Own the strategy and architecture for financial data pipelines and models that support automation, monitoring, and intelligence across Block payment flows

Partner closely with FinPlat Data Science, financial operations teams, banking product managers, and other stakeholders to shape data needs and deliver trusted domain products

Represent data engineering for financial domains, communicating clearly with technical and nontechnical partners to guide decisions and align on long term direction

Collaborate with other DE leaders to advance a standardized, functional, and AI ready data platform across Block

Raise the quality, trust, and performance of core financial data systems to support accurate reporting, monitoring, and operational workflows

Qualification

Data engineering leadershipFinancial data systemsData warehouseLakehouseSQLPython proficiencyOrchestration frameworksData modeling at scaleAIAutomation readinessCoaching engineering leadersPartnering with teamsCommunication skills

Required

12+ years of experience in data engineering or a related software engineering field, including 4+ years leading or managing engineering teams

Strong software engineering fundamentals, with experience designing and scaling distributed data systems that handle high volume, high integrity financial data

Deep understanding of financial data domains such as acquiring, issuing, chargebacks, disputes, and banking adjacent data

Experience building and operating large scale data warehouse and lakehouse systems on Snowflake, Databricks, or similar platforms, including performance tuning and cost management

Proficiency in SQL and Python combined with broader engineering skills such as version controlled development workflows, code review, automated testing, and modern CI practices

Experience with orchestration and compute frameworks like Airflow, Prefect, Spark, and cloud native services across AWS or GCP

Knowledge of data modeling at scale, quality and validation frameworks, data contracts, semantic layer concepts, and patterns for AI and automation readiness

Ability to partner effectively with finance, product, data science, and operations teams to drive alignment, clarity, and shared outcomes

Experience coaching engineering leaders, shaping team culture, and raising execution and architectural quality across teams

Ability to guide adoption of AI first patterns and standards that improve speed, reliability, learning, and quality across data systems

Strong communication skills with the ability to represent data engineering in both technical and nontechnical discussions

Benefits

Remote work

Medical insurance

Flexible time off

Retirement savings plans

Modern family planning

Company

Block

Glassdoor3.9

Block is one company built from many blocks, all united by the same purpose of economic empowerment.

Founded in 1990

Oakland, California, US

10001+ employees

https://block.xyz/

H1B Sponsorship

Block has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (257)

2024 (253)

2023 (260)

2022 (297)