Data Integration and Pipeline Manager Position Available In Miami-Dade, Florida

Data Integration and Pipeline Manager 3.5 3.5 out of 5 stars Miami Lakes, FL 33016

Job Description 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.