Staff Data Engineer

Description

At Corient, we help high- and ultra-high-net-worth individuals and families to enjoy a full life, while enabling them to preserve their wealth for future generations, and provide for the people, causes and communities they care about. We focus on exceeding expectations, simplifying lives, and establishing legacies that last for generations. We are always looking for talented and motivated individuals to join our team. If you want to work for a company that values your contributions and supports your growth, we would like to meet you.

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

Responsibilities

Design and maintain the overall architecture of the enterprise data landscape, ensuring high availability, robustness, and scalability.

Experience improving performance for legacy data pipelines, with an acute focus on process

Build and maintain integrations from10+ 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 with heavy focus on financial data

Develop comprehensive enterprise-level metrics and reports on data performance, quality, and error Rates

Collaborate with cross-functional teams to implement strategies for data acquisition, transformation, and modeling – including internal teams (finance, HR) and external facing teams in the wealth advisory space

Architect and implement data warehousing solutions that facilitate business reporting and analytics.

Maintain up-to-date documentation, including data dictionaries, ERD diagrams, and flowcharts for data movement and transformations, and drive consistent processes for adhering to correct documentation

Drive the development of the next generation 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, leveraging off the shelf tooling (e.g., DBT) as well as some custom coding in Azure

Productize data deliverables for Reporting and Analytics consumption

Qualifications & Requirements

Distinguished academic track record in quantitative discipline

Minimum 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 and Governance

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

This position description is intended to provide a general overview of the expectations and responsibilities of this position and may not include all tasks that may be assigned. As the nature of business demands change, so may the functions of this position. Additional duties and responsibilities may be assigned with or without notice.

Physical Requirements

• This position requires the physical capabilities to work in an office environment, which may include prolonged periods of sitting at a desk and working on a computer. Corient seeks to make reasonable accommodations that enable individuals with disabilities to perform essential duties when possible.
• This position may require the ability to lift up to 15 pounds.
• This position is required to work onsite 4 days per week.

U.S. Eligibility Requirements

What You can Expect from Us

Our dedication to the Employee Experience at Corient is aimed at supporting, empowering, and inspiring our talented team through :

Corient is one of the fastest-growing wealth management platforms in the United States. We serve more than 10,000 clients and manage over $100 billion of assets through offices located across the country. We combine a boutique's personal service, creativity and objective advice with the extensive resources and vast intellectual capital of an innovative industry leader to create a profoundly different wealth management experience for our clients.

Full participation of all employees in a safe, healthy and respectful environment is key to individual and company success. We are committed to fully utilizing the abilities of all our employees and expect each of our employees to honor this commitment in their daily responsibilities.

We are an equal opportunity employer. All candidates will be recruited and, if applicable, selected and employed without regard to sex, race, religion, marital status, veteran status, age, national origin, sexual orientation, gender identity, color, creed, ancestry, disability, genetic information or any other basis prohibited by law.

Pay Information

This position is exempt and is paid according to the laws of the State of Illinois. The pay range for this position is $96,000-145,000 USD per year. We are required to provide a reasonable estimate of the compensation range for this role. This range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. It is not typical for an individual to be offered a salary at or near the top of the range for a position. Salary offers are determined based on final candidate qualifications and experience.