Data Integration & Pipeline Lead

Summary 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). Essential Duties and Responsibilities Technical Ownership & Delivery: 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. Production Stability & Support: Serves as the primary technical escalation point for complex production incidents, leading deep root cause analysis and permanent remediation. Identifies systemic failure patterns and drives 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. Estimation, Planning & Coordination: 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. Mentorship & Technical Quality: Mentors 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. Modernization & Platform Evolution (as applicable): 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 . Education Bachelor’s Degree preferred; Master’s Degree is a plus. Experience 7+ years of experience in data engineering or data integration, with deep hands on experience using Informatica PowerCenter and/or IDMCrequired Proven experience supporting business critical, regulated datasets in production environmentsrequired Exposure to modern analytics and cloud platforms such as Snowflake, dbt, and AWSpreferred Experience working in banking or financial services environments preferred CERTIFICATES, LICENSES, REGISTRATIONS AWS or other cloud provider certifications is a plus Knowledge, Skills and Abilities 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. Familiarity with hybrid architecture and phased modernization approaches, preferred. Deep understanding of data integration principles, pipeline orchestration, data quality, and lifecycle management. Strong understanding of data architecture principles and modern data engineering practices. Strong leadership, communication, and stakeholder management skills. Strong analytical and problem-solving skills with the ability to interpret complex data sets. Excellent sense of urgency, ownership and accountability Excellent verbal and written communication skills, with the ability to present technical concepts to non-technical stakeholders. Ability to drive change and innovation within an organization. Ability to lead cross-functional teams and work in a fast-paced environment. Strong organizational skills and attention to detail. Knowledge of data governance and data privacy regulations. Familiarity with Agile or hybrid project management methodologies. Additional Information Candidates residing in locations within BankUnited's footprint may be given preference. #J-18808-Ljbffr BankUnited