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SUMMARY: We are looking for a Data Integration and Pipeline Manager to lead our enterprise data engineering team focused on building and optimizing large-scale data pipelines. This individual will play a key leadership role in shaping the bank's ETL/ELT strategy as we evolve from legacy systems to modern cloud-based architecture. This is a hands-on leadership position where you'll guide the development of robust, scalable data integration solutions that power analytics, operational data flows, and data-driven decision-making across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties and special projects may be assigned.
- Lead the design, development, and maintenance of scalable and efficient ETL/ELT data pipelines to ingest, transform, and serve data across the enterprise.
- Manage a team of data engineers responsible for data integration, quality, lineage, and delivery across structured and semi- structure sources.
- Guide architectural evolution from traditional ETL systems (e.g., Oracle, Informatica) toward modern, cloud-native platforms.
- Partner with data architects, analysts and business stake holders to gather requirements and ensure data solutions align with strategic goals.
- Oversee and enforce best practices around data ingestion, transformation, orchestration, and storage.
- Ensure high availability and performance of data systems through monitoring, testing and optimization.
- Establish robust processes for incident response, performance tuning, and proactive monitoring of production data jobs.
- Define and manage SLA's for all data sets and processes running in production.
- Drive architectural design patterns that focus on data security, data operational excellence, and optimization of data systems performances and cost efficiency
- Contribute to hiring, mentoring, and career development for team members, fostering a collaborative and high-performance environment.
- 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 is required, Master's degree is a plus
EXPERIENCE
- 7+ years of experience in data architecture or engineering, with 2+ years in a management role
- 5+ years of experience in data engineering or integration roles with increased levels of responsibility
- 2+ years of experience managing or leading data engineering or ETL/ELT focused team
- Experience designing data platforms, preferably in a regulated or financial environments
- Strong background in performance optimization, metadata management and workload balancing
- Exposure to both on-premises and cloud environments, with a vision for migrating legacy systems to modern architectures
- Proven track record of cultivating a self-service analytics culture within a banking environment
- Hands-on experience with ETL tools (eg, Informatica, Talend, SSIS) and cloud-based data warehouses (eg, Snowflake, Databricks, Redshift)
- Expertise in implementing reliable data versioning techniques to enhance data quality
- Proficiency in SQL, Python, or other scripting languages used in data processing
- Experience with data security and compliance requirements in financial institutions
- Experience in the banking or financial services industry
CERTIFICATES, LICENSES, REGISTRATIONS
- AWS or other cloud provider certifications is a plus
- PMP, CSM, or other project management certifications are a plus.
KNOWLEDGE, SKILLS AND ABILITIES
- 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 understanding of cloud-native infrastructure services (ideally in AWS; for example ec2, s3, IAM, etc.) and IaC (infrastructure as code) ideally Terraform
- Strong understanding of cloud-native data services (ideally in AWS; for example EMR, Athena, Glue, Redshift, etc.)
- Strong leadership, communication, and stakeholder management skills.
- Strong analytical and problem-solving skills with the ability to interpret complex data sets.
- 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.
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BankUnited
Apr 22, 2025