Lead Data Engineer (Banking)

ITTConnect

  • Miami, FL
  • 4 days ago

    Highlights

    Own integrated delivery for 4-6 concurrent projects, balancing priorities, dependencies, capacity, risks, and production commitments, working under a scaled agile framework. Redesign and remodeling instead of lifting and shifting when it improves scale, reliability, cost transparency, reuse, lineage, or supportability.

    Numbers & Facts

    LocationMiami, FL

    Description

    ITTConnect is seeking a Lead Data EngineerĀ 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.



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