Rockefeller Capital Management
About Rockefeller Capital Management
Rockefeller Capital Management was established in 2018 as a leading independent financial advisory services firm. Originally founded in 1882 as the family office of John D. Rockefeller, the Firm has evolved to offer strategic advice to ultra- and high-net-worth individuals and families, institutions, and corporations from offices in 30 markets throughout the United States, as well as an office in London. The Firm oversees $151 billion in client assets as of December 31, 2024. Position
This role supports our data platform and application development efforts and works across Technology and our businesses to drive strategic initiatives from concept to execution. You will hold prime responsibility for entity-based platform development on Azure—architecting and building scalable solutions—while collaborating closely with cross-functional partners in both IT and the business. Success requires a unique blend of hands‑on engineering depth and the ability to influence teams toward the right technical decisions. You will work directly on our core data platform with Databricks, Microsoft Fabric, and SQL, with opportunities to contribute to AI‑driven solutions. Responsibilities
Design and develop an entity‑based data platform that underpins wealth management applications and downstream analytics. Set the long‑term architecture vision and standards for data platforms, including security, governance, quality, and performance. Translate logical data designs into physical models across lakehouse/warehouse patterns; map end‑to‑end data flows through ingestion, transformation, storage, and consumption. Deliver complex, end‑to‑end solutions on Microsoft Azure, leveraging services such as Azure Data Lake Storage, Azure Databricks, Azure Data Factory, Microsoft Fabric, Azure Synapse, Azure SQL, Cosmos DB, and Power BI. Engineer and maintain lake and warehouse schematics and layouts across relational and non‑relational stores to enable data access and advanced analytics. Apply best‑practice data engineering (ELT/ETL, orchestration, CI/CD, testing, observability) to build robust, reusable pipelines at scale. Partner with stakeholders (product, application engineering, data governance, security) and communicate progress, dependencies, and risks in a timely manner; elevate issues as needed. Champion platform scalability and cost effectiveness, aligning design choices with business priorities and growth. Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 2+ years of hands‑on experience building and operating large‑scale data platforms in production. Proven experience delivering enterprise solutions on Microsoft Azure. Familiarity with data architecture principles, governance, and security standards. Exposure to AI/ML workflows or interest in contributing to AI‑enabled solutions. Skills
Microsoft Data Platform Cloud solutions. Data ingestion and storage: Azure Data Factory, Azure Databricks, Azure Data Lake. Data engineering: Azure Data Factory, Azure Databricks, with Python and T‑SQL. Relational databases: Azure SQL; NoSQL databases: Cosmos DB. Analytics and BI: Microsoft Fabric, Power BI. Strong problem‑solving and analytical skills. Ability to influence and collaborate across cross‑functional teams. Excellent communication and presentation skills. Experience with Azure Synapse, Delta Lake, and medallion architecture. Familiarity with Databricks/Fabric advanced features and AI integration. Compensation Range
The anticipated base salary range for this role is $80,000 to $95,000. Base salary for the role will depend on several factors, including a candidate’s qualifications, skills, competencies, and experience, and may fall outside of the range shown. In addition, this role may be eligible for a discretionary bonus. Rockefeller Capital Management offers a comprehensive benefit package including health coverage, vacation time, paid leave, retirement plan, and more. Visit careers.rockco.com to learn more about additional opportunities and benefits offerings. 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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Rockefeller Capital Management was established in 2018 as a leading independent financial advisory services firm. Originally founded in 1882 as the family office of John D. Rockefeller, the Firm has evolved to offer strategic advice to ultra- and high-net-worth individuals and families, institutions, and corporations from offices in 30 markets throughout the United States, as well as an office in London. The Firm oversees $151 billion in client assets as of December 31, 2024. Position
This role supports our data platform and application development efforts and works across Technology and our businesses to drive strategic initiatives from concept to execution. You will hold prime responsibility for entity-based platform development on Azure—architecting and building scalable solutions—while collaborating closely with cross-functional partners in both IT and the business. Success requires a unique blend of hands‑on engineering depth and the ability to influence teams toward the right technical decisions. You will work directly on our core data platform with Databricks, Microsoft Fabric, and SQL, with opportunities to contribute to AI‑driven solutions. Responsibilities
Design and develop an entity‑based data platform that underpins wealth management applications and downstream analytics. Set the long‑term architecture vision and standards for data platforms, including security, governance, quality, and performance. Translate logical data designs into physical models across lakehouse/warehouse patterns; map end‑to‑end data flows through ingestion, transformation, storage, and consumption. Deliver complex, end‑to‑end solutions on Microsoft Azure, leveraging services such as Azure Data Lake Storage, Azure Databricks, Azure Data Factory, Microsoft Fabric, Azure Synapse, Azure SQL, Cosmos DB, and Power BI. Engineer and maintain lake and warehouse schematics and layouts across relational and non‑relational stores to enable data access and advanced analytics. Apply best‑practice data engineering (ELT/ETL, orchestration, CI/CD, testing, observability) to build robust, reusable pipelines at scale. Partner with stakeholders (product, application engineering, data governance, security) and communicate progress, dependencies, and risks in a timely manner; elevate issues as needed. Champion platform scalability and cost effectiveness, aligning design choices with business priorities and growth. Qualifications
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience). 2+ years of hands‑on experience building and operating large‑scale data platforms in production. Proven experience delivering enterprise solutions on Microsoft Azure. Familiarity with data architecture principles, governance, and security standards. Exposure to AI/ML workflows or interest in contributing to AI‑enabled solutions. Skills
Microsoft Data Platform Cloud solutions. Data ingestion and storage: Azure Data Factory, Azure Databricks, Azure Data Lake. Data engineering: Azure Data Factory, Azure Databricks, with Python and T‑SQL. Relational databases: Azure SQL; NoSQL databases: Cosmos DB. Analytics and BI: Microsoft Fabric, Power BI. Strong problem‑solving and analytical skills. Ability to influence and collaborate across cross‑functional teams. Excellent communication and presentation skills. Experience with Azure Synapse, Delta Lake, and medallion architecture. Familiarity with Databricks/Fabric advanced features and AI integration. Compensation Range
The anticipated base salary range for this role is $80,000 to $95,000. Base salary for the role will depend on several factors, including a candidate’s qualifications, skills, competencies, and experience, and may fall outside of the range shown. In addition, this role may be eligible for a discretionary bonus. Rockefeller Capital Management offers a comprehensive benefit package including health coverage, vacation time, paid leave, retirement plan, and more. Visit careers.rockco.com to learn more about additional opportunities and benefits offerings. 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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