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

Data Engineering

Data Pipelines

Data Ingestion

Data Validation

Data Transformation

Schema Design

Data Contracts

Lineage Tracking

Drift Detection

Distributed Systems

Ontologies

Domain Modeling

Architecture

ETL

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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