About GFT Lattice
GFT Lattice is a seed-stage AI startup in South End, Charlotte building the intelligent operating layer for commercial banks. Our mission is to transform the way banks do business by creating an agentic layer that automates and streamlines day-to-day tasks. Backed by the former CIO of Bank of America and former CEO of Hamburg Commercial Bank (HCOB), we aim to be one of the first AI-native companies born in Charlotte.
About the Role
We’re looking for a Senior Data Engineer to build the foundation of our data platform. You’ll design and scale data pipelines, shape our modeling strategy, and own technical execution across the full data lifecycle. This role will be responsible for how we integrate with our customers core banking systems. You'll work with everyone on the team as we start to build out the first iteration of our data pipelines.
What You'll Do
- Integrate Banking Systems: Build connectors for core platforms (Fiserv, FIS).
- Model for Clarity & Scale: Design dimensional/normalized models that will power our AI agents and banking workflows.
- Observability: Implement data lineage, quality checks, and system observability to ensure trust at scale.
- Partner Across Functions: Work closely with product, engineering, and data stakeholders to prioritize the right data pipelines.
- Influence Data Strategy: Drive our approach to data and LLM-powered workflows.
- Build for the Future: Lay groundwork for compliant data systems that can scale from MVP to enterprise banking workloads.
Who We Are Looking For
- Startup Mindset: You thrive in a fluid environment and like building 0-to-1 products. You know how to make the right trade-offs for today’s priorities versus best practices.
- Experience: 5+ years in data engineering/back-end/platform roles with a track record of shipping production systems.
- Languages: Deep fluency in Python and SQL; you write clean, testable, maintainable code.
- Modeling Expertise: Hands-on experience with modern data best practices.
- Pipelines & Storage: Strong experience with ELT processes, Postgres, and change data capture patterns; familiarity with dbt a plus.
- Observability & Quality: Familiarity with monitoring, lineage, and data quality frameworks.
- Data Platforms: Experience with Snowflake or Databricks.
- Domain Bonus: Fintech/banking data, privacy/compliance awareness, and secure data handling.
- AI Curiosity: Curious about how LLMs and agentic systems can reshape data pipelines and workflows.
Position Location
- Charlotte. We are hybrid (in office Monday, Tuesday and Thursday).
Compensation
- Competitive annual salary + equity
Benefits
- Flexible PTO
- Parental Leave
- Located in the heart of South End
- Happy Hours and a great selection of office snacks!
