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

Data Integration and Pipeline Lead BankUnited – 3.5

Miami Lakes, FL Job Details Full-time Estimated:

$109K – $140K a year 1 day ago Qualifications 7 years Management Cloud architecture PMP Data governance Snowflake Master’s degree SQL Analysis skills Project management Bachelor’s degree Scripting Organizational skills Talend ETL Certified Scrum Master Project management methodology Agile SSIS Redshift Senior level Informatica Leadership Communication skills Python Stakeholder management

Full Job Description Job Description SUMMARY:

We are looking for a Data Integration and Pipeline Lead to join our enterprise data engineering team focused on building and optimizing large-scale data pipelines. This individual will play a key role in shaping the bank’s ETL/ELT strategy as we evolve from legacy systems to modern cloud-based architecture.

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. Partner with data architects, analysts and business stakeholders 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. 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 preferred Master’s Degree is a plus

EXPERIENCE

7+ years of experience in data architecture or engineering Experience designing data platforms, preferably in a regulated or financial environment 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 architecture 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 with data security and compliance requirements in financial institutions

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 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.