Data Integration & Pipeline Lead

BankUnited, Inc.Miami Lakes, FL
Hybrid

About The Position

We are seeking an Informatica Technical Lead to provide hands-on technical leadership across our enterprise data integration platform. This role is responsible for the design, build, stability, and technical evolution of Informatica-based data pipelines while partnering closely with architecture, platform leadership, and delivery managers. This is a technical leadership role—not a people management role. The Technical Lead sets the technical bar, ensures production stability, mentors engineers, and coordinates execution across teams, while delivery ownership and people management remain with the Informatica Manager. The role supports a hybrid environment that includes Informatica (PowerCenter / IDMC) and possibly a gradual evolution toward modern cloud and analytics platforms (Snowflake, dbt).

Requirements

  • 7+ years of experience in data engineering or data integration, with deep hands on experience using Informatica PowerCenter and/or IDMC required
  • Proven experience supporting business critical, regulated datasets in production environments required
  • Strong understanding of ETL/ELT design principles, performance tuning, metadata, lineage, and data quality controls, required.
  • Solid SQL skills and experience with scripting languages used in data processing, required.
  • Ability to diagnose and resolve complex data pipeline failures under operational pressure, required.
  • Clear communicator with the ability to collaborate across technical and non-technical teams, required.

Nice To Haves

  • Exposure to modern analytics and cloud platforms such as Snowflake, dbt, and AWS preferred
  • Experience working in banking or financial services environments preferred
  • Familiarity with hybrid architecture and phased modernization approaches, preferred.
  • AWS or other cloud provider certifications is a plus
  • Knowledge of data governance and data privacy regulations.
  • Familiarity with Agile or hybrid project management methodologies.

Responsibilities

  • Leads the end-to-end technical design and implementation of Informatica ETL/ELT pipelines, including sourcing, transformations, orchestration, error handling, restartability, and downstream dependencies.
  • Establishes and enforces technical standards and reusable patterns for mappings, workflows, parameterization, performance tuning, and monitoring.
  • Partners with data architects to translate target-state architecture into executable Informatica designs, including hybrid and dual run patterns.
  • Reviews and guides implementation work to ensure design integrity, scalability, and operational resilience.
  • Serves as the primary technical escalation point for complex production incidents, leading deep root cause analysis and permanent remediation.
  • Identifies systemic failure patterns and drive architectural or design changes to reduce recurring incidents.
  • Ensures pipelines meet defined SLAs, reliability, and audit expectations, especially for regulatory and risk sensitive data flows.
  • Collaborates with support and scheduling teams to ensure smooth promotion, execution, and recovery of Informatica jobs.
  • Breaks down requirements into technically meaningful components and helps shape realistic estimates based on data volume, transformation complexity, dependencies, and risk.
  • Coordinates closely with the Informatica Manager to surface technical risks early, enabling proactive re planning rather than late delivery issues.
  • Participates in project planning, design reviews, and readiness checkpoints to ensure technical feasibility and delivery confidence.
  • Communicates technical concepts clearly to delivery managers and non-technical stakeholders without over or under simplifying.
  • Mentor data engineers on best practices, debugging techniques, performance optimization, and operational thinking.
  • Raises overall team capability through design reviews, knowledge sharing, and consistent technical guidance.
  • Help reduce key person risk through documentation, standardization, and shared ownership of critical pipelines.
  • Identifies candidates suitable for refactoring or migration to modern data platforms.
  • Supports incremental modernization efforts by defining safe migration approaches that minimize business disruption.
  • Contributes technically to initiatives involving Snowflake, dbt, AWS, or cloud-native tools, where applicable.
  • Adheres to and complies with applicable, federal and state laws, regulations and guidance, including those related to anti-money laundering (i.e. Bank Secrecy Act, US PATRIOT Act, etc.).
  • Adheres to Bank policies and procedures and completes required training.
  • Identifies and reports suspicious activity.
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