BankUnited Financial-posted 3 months ago
Full-time • Senior
Miami Lakes, FL
1,001-5,000 employees
Credit Intermediation and Related Activities

We are seeking a dynamic and experienced Data Platform Manager to lead our data architecture and data engineering initiatives. This role will focus on modernizing the Bank's data infrastructure to meet the evolving requirements and use cases for data that will be derived through various interactions with internal business stakeholders as well as the broader Data Community. This role aligns data strategy with business goals/outcomes and in doing so will work cross-functionally to drive innovation, compliance, and operational excellence. The ideal candidate will have a strong background in ETL, ELT, and other data automation methodologies, data architecture, as well as a deep understanding of cloud-native infrastructure and data services (ideally AWS).

  • Design and implement scalable and secure data architectures that meet the bank's business needs and regulatory requirements.
  • Oversee the development and maintenance of ETL processes, ensuring efficient data ingestion, transformation, and delivery using industry-standard tools and methodologies.
  • Ensure robust data pipeline processes for systems, ensuring seamless data integration across platforms.
  • Utilize AWS cloud data services to optimize data processing and storage solutions.
  • Cultivate a culture of self-service analytics by enabling business users to access and analyze data independently.
  • Lead initiatives to automate data workflows and improve data quality and consistency across the organization.
  • Act as a liaison between business lines, IT, and compliance teams to align data initiatives with strategic objectives.
  • Use Agile or hybrid methodologies to deliver data solutions on time and within budget.
  • Collaborate with enterprise architects to design scalable and secure data solutions that meet regulatory requirements.
  • Stay updated on emerging trends in data management, cloud computing, and analytics to recommend continuous improvements and apply best practices to enhance data capabilities.
  • Ensure adherence to data privacy laws, banking regulations, and internal data governance policies.
  • Adhere to and comply with applicable federal and state laws, regulations and guidance, including those related to anti-money laundering.
  • Identify and report suspicious activity.
  • Bachelor's Degree required; Master's degree is a plus.
  • 7+ years of experience in data architecture or engineering, with 2+ years in a management role.
  • Experience with data analysis, business intelligence, and/or data visualization tools and techniques.
  • Proven track record of cultivating a self-service analytics culture within a banking environment.
  • Hands-on experience with ETL tools (e.g., Informatica, Talend, SSIS) and cloud-based data warehouses (e.g., Snowflake, Databricks, Redshift).
  • Expertise in implementing reliable data versioning techniques to enhance data quality.
  • Experience working with large language models (LLMs) or similar generative AI technologies is a plus.
  • Experience with data security and compliance requirements in financial institutions.
  • Experience in the banking or financial services industry preferred.
  • AWS or other cloud provider certifications is a plus.
  • PMP, CSM, or other project management certifications are a plus.
  • Knowledge of business intelligence tools (e.g., Power BI, Tableau, Looker, Quicksight) and reporting frameworks is a plus.
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