Lead Data Engineer (Banking)

ITTConnect
  • Miami, Florida
  • Autofill and Review
5 days ago

Job Description

ITTConnect is seeking a Lead Data Engineer for a direct-hire full time position with a client that is a large financial institution.
Position is hybrid in Miami.
The Lead Data Engineer turns business and domain needs into secure, observable, reusable, and documented pipelines. The role combines hands-on technical leadership, portfolio delivery, consultant coordination, engineering standards, and stakeholder engagement in a regulated bank.
Key Responsibilities:
Portfolio & Delivery Leadership
  • Own integrated delivery for 4-6 concurrent projects, balancing priorities, dependencies, capacity, risks, and production commitments, working under a scaled agile framework.
  • Turn transformation needs into technical scope, milestones, acceptance criteria, and measurable outcomes.
  • Provide portfolio visibility through dashboards, risk logs, dependency tracking, and escalation.
  • Ensure releases meet change, security, testing, documentation, and production-readiness requirements.
Team & Consultant Coordination
  • Direct an 8-12 person consultant team through work allocation, onboarding, delivery follow-up, and quality review.
  • Set an accountable rhythm with backlog refinement, design and code reviews, stand-ups, demos, and retrospectives.
  • Build 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.
On-Premises Platform Execution
  • 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 by business criticality, operational risk, migration value, and delivery impact.
Cloud Transition & Re-Engineering
  • 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 remodeling instead of lifting and shifting when it improves scale, reliability, cost transparency, reuse, lineage, or supportability.
  • Define migration waves, readiness, parallel runs, reconciliation, cutover, rollback, and decommissioning.
Stakeholder & Domain Partnership
  • 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.

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;
  • Fluency in Portuguese or Spanish is a plus.
Preferred Qualifications
  • 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.

Numbers & Facts

LocationMiami, Florida

Skills

  • Amazon Simple Storage Service (S3)unmatched
  • Amazon Web Services (AWS)unmatched
  • Bank Managementunmatched
  • Banking Servicesunmatched
  • Business Operationsunmatched
  • Capacity Managementunmatched
  • Cisco Unityunmatched
  • Cloud Computingunmatched
  • Coachingunmatched
  • Code Reviewsunmatched
  • Communication Skillsunmatched
  • Consultingunmatched
  • Continuous Deployment/Deliveryunmatched
  • Continuous Integrationunmatched
  • Data Modelingunmatched
  • Data Qualityunmatched
  • Dimensional Modelingunmatched
  • Distributed Projectsunmatched
  • Documentationunmatched
  • English Languageunmatched
  • Establish Prioritiesunmatched
  • Knowledge Transferunmatched
  • Leadershipunmatched
  • Metadataunmatched
  • Onboardingunmatched
  • Portuguese Languageunmatched
  • Problem Solving Skillsunmatched
  • Product Demonstrationunmatched
  • Project/Program Coordinationunmatched
  • Reconciliationunmatched
  • Reliability Engineeringunmatched
  • Remodelingunmatched
  • Reporting Dashboardsunmatched
  • Riskunmatched
  • SQL (Structured Query Language)unmatched
  • Security Architectureunmatched
  • Security Infrastructureunmatched
  • Software Engineeringunmatched
  • Source Code/Configuration Management (SCM)unmatched
  • Spanish Languageunmatched
  • Technical Deliveryunmatched
  • Technical Leadershipunmatched
  • Test Automationunmatched
  • Test Designunmatched

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