The Role
Lead and manage a data engineering team to design, build, and optimize scalable ETL/ELT pipelines, migrate legacy systems to cloud-native platforms, enforce data quality and security, define SLAs, and support analytics and operational data needs within a regulated banking environment.
Summary Generated by Built In
Job Summary & Responsibilities
Bachelor's Degree is required, Master’s degree is a plus
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.
ADDITIONAL INFORMATION
- Candidates residing in locations within BankUnited's footprint may be given preference.
Top Skills
Athena
Aws Ec2
Aws Iam
Aws S3
Databricks
Emr
Glue
Informatica
Oracle
Python
Redshift
Snowflake
SQL
Ssis
Talend
Terraform
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The Company
What We Do
BankUnited, Inc., with total consolidated assets of $35.2 billion at March 31, 2021, is a bank holding company with one wholly owned subsidiary, BankUnited. BankUnited, a national banking association headquartered in Miami Lakes, Florida, provides a full range of banking services to individual and corporate customers through banking centers in Florida and New York. The Bank also provides certain commercial lending and deposit products on a national platform. Here at BankUnited, we endeavor to provide, through experienced lending and relationship banking teams, personalized customer service and offer a full range of traditional banking products and services to both commercial and retail customers.
