Zip Co · 1 day ago
Tech Lead, Data Engineering
United States
Full-time
Remote
Senior Level, Lead/Staff
$161K/yr - $180K/yr
10+ years expZip Co Limited is a digital financial services company offering innovative products. They are seeking a Tech Lead in Data Engineering to own and evolve their data platforms, ensuring reliability and architectural excellence while enabling analytics and AI capabilities.
FinanceFinancial ServicesFinTechPayments
Responsibilities
Own the technical direction and long-term architecture of Zip’s data platforms across Data Lake, Lakehouse, and Streaming systems
Make and document architectural decisions across Snowflake, Databricks, Azure, and open table formats (Iceberg, Delta, Delta Live Tables), balancing scalability, governance, correctness, and unit economics
Define reference architectures for ingestion, transformation, storage, and consumption, with clear contracts and ownership boundaries
Establish standards for ETL/ELT, data modeling (Medallion, Data Vault, Kimball), schema evolution, data contracts, and access patterns using Airflow (Astronomer), Python, SQL, and cloud-native tooling
Define and enforce transformation standards using dbt Core / dbt Cloud, including modular modeling, testing, documentation, and CI-integrated deployments
Design and operate high-throughput batch and streaming pipelines using Kafka / Azure Event Hub, including CDC and event-driven architectures
Own ingestion reliability and scalability using Airbyte and custom frameworks, ensuring data completeness and correctness
Ensure platforms meet fintech-grade non-functional requirements, including security, privacy, compliance, resiliency, and cost controls
Set the standard for production-grade data systems: deterministic, testable, fault-tolerant, observable, and recoverable
Own engineering quality across design reviews, code standards, testing strategies, and data validation frameworks
Lead investigation and resolution of complex, cross-platform incidents impacting financial reporting, risk, or customer-facing analytics
Define and enforce SLAs/SLOs, incident response playbooks, and postmortem practices
Drive Monitoring-as-Code and deep observability across pipelines, storage, and compute, including freshness, volume, and quality metrics
Build trusted, well-modeled data foundations supporting financial reporting, risk modeling, BI, AI/ML, vector search, and NLQ use cases
Ensure analytical and AI workloads operate safely and predictably without compromising data integrity or platform stability
Apply data governance by design, including ownership, lineage, access controls, and data quality enforcement to meet regulatory and audit requirements
Design and maintain a centralized semantic layer to ensure consistent metrics, trusted insights, and self-service analytics across BI, experimentation, and AI
Partner with Risk, Legal, and Governance teams to ensure Responsible AI, auditability, and compliance are enforced by design
Translate ambiguous, high-impact initiatives into clear technical strategies and delivery plans
Drive a data product mindset, defining ownership, SLAs, contracts, and documentation for domain-aligned data products
Anticipate scaling limits, failure modes, and cost inflection points, making explicit trade-offs grounded in strong economic thinking
Proactively reduce technical debt and operational risk, prioritizing work that compounds platform leverage
Delegate ownership while maintaining architectural coherence and high engineering standards
Act as a technical multiplier, mentoring senior engineers and accelerating organizational maturity
Lead technical hiring, onboarding, design forums, and knowledge-sharing practices
Influence cross-functional partners across Product, Analytics, Risk, Finance, and Engineering through clear technical communication and data-driven decision-making
Qualification
Required
10+ years building and operating large-scale, distributed data platforms, ideally in fintech or regulated environments
Deep, hands-on expertise with: Snowflake, Databricks, Airflow (Astronomer), Python, SQL
Azure cloud infrastructure
Kafka / Event Hub, batch and streaming architectures
Airbyte, CDC, and modern ingestion patterns
Open table formats (Iceberg, Delta)
Analytics and governance tooling (Atlan, Tableau, Power BI)
Proven ability to design systems with strong correctness, availability, and observability guarantees
Strong experience with DevOps, CI/CD, Infrastructure-as-Code, and automation
Demonstrated success leading complex, multi-year data platform initiatives and influencing senior technical and business stakeholders
Benefits
Flexible working culture
Incentive programs
Unlimited PTO
Generous paid parental leave
Leading family support policies
Company-sponsored 401k match
Learning and wellness subscription stipend
Beautiful Union Square office with a casual dress code
Industry-leading, employer-sponsored insurance for you and your dependents, with several 100% Zip-covered choices available
Company
Zip Co
Zip Co Limited (ASX: ZIP) is a digital financial services company, offering innovative, people-centred products that bring customers and merchants together.
1001-5000 employees
H1B Sponsorship
Zip Co 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 (4)
2024 (9)
2023 (4)
2022 (4)
Funding
Current Stage
Public CompanyTotal Funding
$1.55BKey Investors
Victory Park CapitalWestpacNational Australia Bank
2025-12-15Post Ipo Debt· $283M
2024-07-17Post Ipo Equity· $146.05M
2024-01-16Post Ipo Debt· $225M
Leadership Team
Cynthia Scott
Managing Director and Group CEO
Peter Gray
Co-founder & Global COO
Recent News
2025-12-03
MarketScreener
2025-12-03
Company data provided by crunchbase