Lead Data Engineer (Banking)

ITTConnect•Miami, FL
•Hybrid

About The Position

ITTConnect is seeking a Lead Data Engineer for a direct-hire, full-time position with a large financial institution. The role is hybrid in Miami. The Lead Data Engineer turns business and domain needs into secure, observable, reusable, and documented pipelines. It combines hands-on technical leadership, portfolio delivery, consultant coordination, engineering standards, and stakeholder engagement in a regulated bank. The position owns delivery across multiple concurrent projects, coordinates a consultant team, guides on-premises data-platform execution, and leads cloud transition and pipeline re-engineering. It also partners with business and data owners and technical control functions to align delivery with domain needs, architecture, security, governance, and compliance standards.

Requirements

  • 15+ years of experience in IT.
  • 8+ years in data engineering, platform delivery, analytics engineering, or a related field.
  • 3+ years in technical or delivery leadership.
  • Experience coordinating parallel projects and distributed or consulting teams in complex enterprises.
  • Strong SQL expertise and practical experience with NiFi, Airflow, dbt, or comparable tools.
  • Experience building production pipelines with automated tests, quality controls, monitoring, lineage, documentation, and support.
  • Working knowledge of AWS and Databricks architecture, lakehouse patterns, security, deployment, and migration.
  • Experience in regulated financial services or another control-intensive environment.
  • Strong English communication, planning, problem-solving, and stakeholder management skills.

Nice To Haves

  • Fluency in Portuguese or Spanish.
  • Experience with Unity Catalog, Delta Lake, Databricks Workflows, CI/CD, infrastructure as code, and cloud observability.
  • Knowledge of AWS data-platform services, including S3, IAM, KMS, CloudWatch, and private networking.
  • Experience with catalogs, metadata, lineage, data quality, and DataOps or DataSecOps.
  • Familiarity with dimensional modeling, data vault, medallion/lakehouse, streaming, and data products.
  • Relevant AWS, Databricks, data engineering, or agile delivery certifications.

Responsibilities

  • Own integrated delivery for 4–6 concurrent projects, balancing priorities, dependencies, capacity, risks, and production commitments within a scaled agile framework.
  • Translate transformation needs into technical scope, milestones, acceptance criteria, and measurable outcomes.
  • Provide portfolio visibility using dashboards, risk logs, dependency tracking, and escalation.
  • Ensure releases meet change, security, testing, documentation, and production-readiness requirements.
  • Direct an 8–12 person consultant team through work allocation, onboarding, delivery follow-up, and quality review.
  • Establish a delivery rhythm that includes backlog refinement, design and code reviews, stand-ups, demos, and retrospectives.
  • Build team capability through reusable patterns, playbooks, pairing, coaching, and knowledge transfer.
  • Partner with vendor and bank leaders to manage capacity, capability, performance, continuity, and key-person risks.
  • Guide solutions using NiFi for ingestion, Airflow for orchestration, dbt for transformation and testing, and SQL for processing and validation.
  • Improve pipeline stability through modular design, automated tests, version control, disciplined deployment, observability, and incident follow-up.
  • Prioritize technical debt based on business criticality, operational risk, migration value, and delivery impact.
  • Follow the AWS and Databricks operating model in line with architecture, security, governance, networking, and compliance standards.
  • Lead cloud-native pipeline delivery and phased re-engineering of on-premises pipelines.
  • Redesign and remodel rather than lift and shift when doing so improves scale, reliability, cost transparency, reuse, lineage, or supportability.
  • Define migration waves, readiness, parallel runs, reconciliation, cutover, rollback, and decommissioning.
  • Align delivery with business and data owners, stewards, architects, security, infrastructure, risk, compliance, and operations.
  • Lead cross-domain requirements and design discussions, resolving ambiguity and clarifying trade-offs.
  • Explain decisions, delivery health, risks, and business impact to technical and executive audiences.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service