Tech Lead - Data Engineering at Basis

New York, New York, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, AccountingIndustries

Requirements

Experience leading technical vision and architecture in data engineering or distributed systems
Strong skills in designing data pipelines for ingestion, validation, and transformation
Expertise in defining schemas, data contracts, validation, lineage tracking, and drift detection
Ability to model complex domains (e.g., accounting) into ontologies with entities, relationships, and rules
Proficiency in creating clean abstractions, interfaces, and documentation for clarity and simplicity
Skills in running design reviews, mentoring engineers, and simplifying systems
Location: NYC (in-person, Flatiron office)

Responsibilities

Build and standardize the data platform
Design data pipelines that ingest, validate, and transform accounting data into clean, reliable datasets
Define schemas and data contracts that balance flexibility with correctness
Build validation, lineage tracking, and drift detection into every pipeline
Create interfaces that make data discoverable, computable, and observable throughout the system
Model the domain as a system: translate accounting concepts into well-structured ontologies (entities, relationships, rules)
Create abstractions that help AI systems reason safely about real-world constraints
Design for clarity: make complex workflows understandable through schema, code, and documentation
Own the architectural vision for the area and keep it consistent over time
Run effective design reviews that challenge assumptions and drive alignment
Mentor engineers on systems thinking: from load testing to schema design to observability patterns
Simplify aggressively by removing unnecessary complexity and maintaining clean, stable abstractions

Skills

Key technologies and capabilities for this role

Data EngineeringData PipelinesData IngestionData ValidationData TransformationSchema DesignData ContractsLineage TrackingDrift DetectionDistributed SystemsOntologiesDomain ModelingArchitectureETL

Questions & Answers

Common questions about this position

What is the salary range for the Tech Lead - Data Engineering role?

The salary range is $100,000 – $300,000, in accordance with New York State regulations, covering various responsibility and experience levels. All employees are eligible for the equity plan and benefits program.

Is this a remote position or does it require in-office work?

This is an in-person team based in the NYC Flatiron office.

What key skills and experiences are required for this Tech Lead role?

The role requires expertise in designing architectures for distributed systems, building data pipelines for ingestion/validation/transformation, defining schemas and data contracts, and leading through code, design reviews, and mentoring on system thinking.

What is the culture like on the Data Engineering team at Basis?

The team cares deeply about clarity through clean abstractions, simple mental models, and clear interfaces, emphasizing technical excellence, simplification, and making complex workflows understandable.

What makes a strong candidate for this Tech Lead position?

Strong candidates own technical vision, lead through code and design reviews, mentor on distributed systems and observability, and prioritize clarity and simplicity in architectures and data platforms.

Basis

Platform for developing financial applications

About Basis

Basis provides a platform that assists businesses in creating financial applications. The platform includes a variety of tools and integrations that simplify the process of building, testing, and deploying these applications. Clients, which range from financial institutions to fintech startups, can access the platform through a subscription model, paying for its features and support. Basis distinguishes itself from competitors by focusing on streamlining the development process and offering custom solutions tailored to the specific needs of its clients. The company's goal is to empower businesses to innovate and enhance their financial operations through improved application offerings.

1688 Pine St UNIT E211, San Francisco, CA 94109, USAHeadquarters

2022Year Founded

$6MTotal Funding

SEEDCompany Stage

Enterprise Software, FintechIndustries

1-10Employees

Risks

Emerging fintech startups offer similar tools at lower costs.

Regulatory scrutiny on data privacy may increase compliance costs.

Economic downturns could reduce demand for Basis's services.

Differentiation

Basis provides real-time cash flow profiles for B2B lenders.

The platform integrates data from revenue, accounting, and banking sources.

Basis offers a subscription-based model with premium services and custom solutions.

Upsides

Increased demand for real-time financial data analytics benefits Basis's offerings.

The rise of embedded finance aligns with Basis's focus on lending stacks.

Open banking trends enhance Basis's cash flow profile accuracy.

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