You will be responsible for driving data engineering initiatives, collaborating with cross-functional stakeholders to drive data-driven decision-making and ensure the scalability, reliability and security of data systems.

This position will report to Vice President, Strategy and Operations.

Responsibilities

• Design and maintain the overall architecture of the enterprise data landscape, ensuring high availability, robustness, and scalability.
• Source and analyze data from multiple source systems like Salesforce, Addepar, eMoney, Workday, etc.
• Build normalization techniques for the ingested data and maintain a golden copy record
• Establish data governance, data quality, and data management best practices
• Develop comprehensive enterprise-level metrics and reports.
• Collaborate with cross-functional teams to implement strategies for data acquisition, transformation, and modeling.
• Architect and implement data warehousing solutions that facilitate business reporting and analytics.
• Maintain up-to-date documentation, including data dictionaries, ERD diagrams, and flowcharts f or data movement and transformations.
• Drive the development of Data Layer infrastructure that enables the data, reporting, and analytics needs of the firm in a robust, timely, accurate, and scalable way
• Own integration architecture between data sources and data layer
• Productize data deliverables for Reporting and Analytics consumption

Qualifications & Requirements

• Distinguished academic track record in quantitative discipline
• Minimum 2-4+ years of work experience in data engineering-related roles
• Demonstrated proficiency in a data analytics tooling (e.g., SQL, DBT, Python, Tableau, Excel)
• Experience and knowledge with industry standard ELT & ELT tooling
• Proficiency in programming, especially Python and SQL
• Understanding of data modeling best practices, including Data Warehousing
• Basic understanding of Cloud Engineering, especially Azure
• Ability to implement CI/CD and follow other Change Management processes
• Preferred - data engineering-related experience with Databricks, Salesforce, Addepar, and/or Workday
• Effective problem-solving and troubleshooting skills
• Continuous learning & adaptability to new technologies, following industry trends
• High standards of ownership, professionalism and confidentiality
• Strong attention to detail with a high degree of accuracy and consistency
• Ability to write and refactor clean and high-quality code
• Ability to triage and prioritize effectively and in alignment with business goals
• Ability to lead projects end-to-end, in a structured way, and with minimal supervision
• Effective communication, both orally and in writing

Corient does not offer employment sponsorship. All candidates must be legally authorized to work in the United States without current or future visa sponsorship.