Job Description
- 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 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.
- 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:
- 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.
- 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.
Bachelor's Degree preferred Master's Degree is a plus
- 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 environmentspreferred
- AWS or other cloud provider certifications is a plus
- 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.
- Candidates residing in locations within BankUnited's footprint may be given preference.
