Rockefeller Capital Management | Senior Data Platform Lead | United States | United States | BigDataKB.com | 2022/10/28

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Job Location: United States

About Rockefeller Capital Management:

Rockefeller Capital Management is a leading independent financial advisory firm – providing wealth management, asset management, and strategic advisory services to ultra- and high-net-worth individuals, families, businesses, and institutions. Led by President & CEO Gregory J. Fleming, the firm offers an elevated experience based on traditional Rockefeller global family office values of excellence and service.
Formed in 2018 following the acquisition of Rockefeller & Co., Inc., the firm is rapidly extending its historic brand into contemporary markets. Based in New York City, it has over forty offices in the United States and London and oversees some $95 billion in client assets.

Position:

This position supports the Data platform & application development and works across the team and across each of our businesses to drive programs and strategic initiative execution. Will have prime responsibility in focusing on Entity platform development, architecting, developing solutions, and grooming other team members on Data solutions on Azure. The role will work closely with Global Family Office, Wealth Management, Finance, Operations, and the lines of businesses to ensure that the technology organization is delivering along priorities for the firm and individual groups. A key for success in this role is a unique blend of technical skills, business knowledge and working with and influencing multiple cross functional teams within IT and business on the right solutions.

Responsibilities:

  • Design and Develop entity-based Data platform to support Wealth management applications.
  • Develop and deliver long-term strategic goals for data architecture vision and standards.
  • Create end-to-end vision on how logical design translates to one or more physical databases and how the data will flow through the successive stages.
  • Oversee the mapping of data sources, data movement, interfaces, and analytics with the goal of ensuring data quality.
  • Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
  • Assess and determine governance and frameworks for managing data across the platform.
  • Provide solutions in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
  • Applying technical knowledge to architect solutions that meet business and IT needs, create Data Platform roadmaps, and enable the Data Platform to scale & support all use cases. (e.g., Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Synapse, Analytics, Azure SQL, Cosmos DB, Power BI etc.)
  • Developing and maintaining data lake and data warehouse schematics, layouts, architectures and relational/non-relational databases for data access and Advanced Analytics.
  • Review & ensure that the Data deliverables are according to the design and architecture.
  • Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, backup, disaster recovery, business continuity and archiving.
  • Communicate with all stakeholders, project team in a timely manner and escalates issues & Risks.

Qualifications:

  • More than 10+ years of implementation knowledge of large complex Data platforms.
  • At least three years of professional experience in designing and engineering/architecting Data platform (Entity based).
  • Expertise in Data Architecture, Data Strategy and implemented large scale end-to-end Data management.
  • Expertise in Data Quality, Data profiling, Data governance.

Skills:

  • Deep understanding of ETL, data ingestion/cleansing and engineering skills
  • Strong problem solving, influencing, communication and presentation skills.
  • Technical experience and knowledge, with depth / Subject Matter Expertise in

    • Microsoft Data Platform Cloud solutions
    • Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake
    • Data Engineering including Azure Data Factory and Azure Databricks with experience with Python and T-SQL.
    • Relational Databases including Azure SQL, NoSQL Databases including Cosmos DB
    • Data Governance, Data Catalog, Master Data Management

Disclosure:

Rockefeller & Co. LLC, Rockefeller Financial LLC, Rockefeller Trust Company, N.A., The Rockefeller Trust Company (Delaware), Rockefeller Financial Services, Inc. and all other subsidiaries of Rockefeller Capital Management L.P. (individually and collectively, “Rockefeller”) is an equal opportunity employer and does not discriminate on the basis of race, religion, sex, gender, sexual orientation, gender identity or expression, national origin, citizenship, age, military or veteran status, marital or partnership status, caregiver status, legally recognized disability, or any other basis protected by applicable federal, state or local law (“protected characteristics”).
Rockefeller Capital Management participates in the E-Verify program in certain locations, as required by law.




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