Lead Data Engineer

Ufs Llc; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Navanta is seeking a Lead Data Engineer to own the data backbone for public Call Report data and secure ingestion from bank cores into lakehouses as clients stand up on-prem environments. You will design the lakehouse using Iceberg-like tech, implement secure, observable pipelines, and collaborate with AI/ML, security, and platform teams to maintain a clean, modelable data foundation.

The role emphasizes end-to-end data ownership, strong Python/SQL skills, and experience with lakehouse platforms

Qualifications

• 8–12+ years in data engineering with end-to-end ownership of ingestion through serving and 2+ years in a lead or senior role.
• Strong Python and expert SQL; rigorous data modeling for analytics.
• Hands-on lakehouse experience (Iceberg/Delta/Hudi or equivalent) and modern transformation tooling.
• Built reliable pipelines from messy operational and transactional source systems.
• Comfort with CDC mechanics and the realities of pulling from databases you do not control.

Responsibilities

• Design the lakehouse: Iceberg or similar on object storage, catalog for table management and per-bank isolation, dbt models, and a query engine.
• Build secure, least-privilege ingestion from bank systems with CDC and batch/SFTP fallbacks.
• Own data modeling for semantic and metric layers; manage deposits, concentration, and asset quality metrics.
• Handle schema drift, data quality, and reconciliation; make ingestion observable and recoverable.
• Partner with AI/ML and Security on PII classification and governance aligned with regulatory data handling.
• Document data lineage, transformation logic, and access controls for audits.

Skills

Python

SQL

Lakehouse

Data Modeling

Data Governance

CDC

Security

Observability

Cloud

Education

Bachelor's degree in CS/Math/IS

Tools

Iceberg

Delta

Hudi

dbt

Kafka/Redpanda

PostgreSQL

SQL Server

SQL

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Remote, US

30+ days ago Requisition ID: 1250

The Lead Data Engineer owns the Navanta data backbone — public Call Report data in the early build, and secure ingestion from bank cores into lakehouses as each client’s on‑premises environment is stood up. Working under the SVP of Technology and Commercial AI and in close partnership with the AI/ML, security, and platform teams, this role builds the architecturally clean, well‑modeled, reconcilable data foundation that makes it possible for the Navanta AI platforms to give numbers a banker will act on.

Key Responsibilities

• Design the lakehouse: Apache Iceberg (or similar technology) on object storage, a catalog for table management and per-bank isolation, dbt models, and a query engine
• Build secure, least‑privilege ingestion from bank systems — log‑based CDC where permitted, with query‑based and batch/SFTP fallbacks, plus an in‑bank collector pattern
• Own data modeling for the semantic and metric layer (deposits, concentration, uninsured exposure, asset quality, and peer groups)
• Handle schema drift, data quality, and reconciliation; make ingestion observable and recoverable
• Partner with the AI/ML team on the structured‑query path and with Security on PII classification at landing, in alignment with regulatory data‑handling requirements
• Document data lineage, transformation logic, and access controls to support audit and exam readiness
• Define and enforce data contracts, quality thresholds, and alerting for pipeline failures

Core Competencies

• End‑to‑end ownership of ingestion‑through‑serving pipelines, with a bias toward reliability and observability
• Rigorous data modeling for analytics — semantic layers, metric definitions, and reconcilable outputs
• Security and compliance mindset: PII handling, least‑privilege access, and data governance aligned to regulatory guidance
• Cross‑functional partnership with AI/ML and platform engineering to deliver governed, queryable data products

Key Performance Indicators (KPIs)

• Data freshness and pipeline reliability — SLAs met for data ingestion and bank‑core feeds
• Data quality score across key metrics versus source reconciliation
• Time to onboard a new bank’s data environment, from kickoff to queryable lakehouse
• PII classification coverage at landing and zero unauthorized data‑access incidents
• Semantic layer adoption — percentage of assistant queries resolved via governed metrics versus ad hoc SQL

Qualifications

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.

• 8–12+ years in data engineering with end‑to‑end ownership of ingestion through serving, and 2+ years in a lead or senior role
• Strong Python and expert SQL; rigorous data modeling for analytics
• Hands‑on lakehouse experience (Iceberg/Delta/Hudi or equivalent) and modern transformation tooling
• Built reliable pipelines from messy operational and transactional source systems
• Comfort with CDC mechanics and the realities of pulling from databases you do not control

Core Technologies

• CDC & streaming: Debezium (SQL Server CDC, Postgres logical replication), Kafka / Redpanda
• SQL Server and PostgreSQL data modeling, pgvector (or equivalent)

Nice to Have

• Experience with financial or core‑banking data, or FFIEC / Call Report data specifically
• Strong SQL Server familiarity
• Data contracts, lineage, and governance practices

Education and/or Experience

• Bachelor’s degree in computer science, mathematics, information systems, or a related field, or equivalent hands‑on experience
• Experience in the financial services industry or a regulated data environment strongly preferred
• Full‑time role combining ongoing pipeline operations with initiative‑based lakehouse build‑out and new bank onboarding
• Close collaboration with AI/ML, platform engineering, and security teams; on‑call rotation covering data pipeline reliability

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit and use hands to finger, handle, or touch objects, tools, or controls. The employee frequently is required to talk or hear. The employee occasionally required to stand; walk; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 10 pounds, usually waist high, up to 50 feet away. Specific vision abilities required by this job include close vision and the ability to adjust focus.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Typical office environment
• Up to 20% travel time may be required

Who is Navanta?

Navanta is the trusted technology and services partner for community financial institutions, unifying critical systems, security, cloud infrastructure, and support into one seamless, purpose built experience. With more than 35 years of banking expertise — from Managed IT to Core Banking, CRM, and Advisory Services — Navanta helps institutions simplify complexity, reduce risk, and strengthen daily operations. Navanta empowers community bankers and their people to thrive together. Go Bankers, Go.