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.