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
Set long-term vision for enterprise-wide data engineering strategy, including technology, tooling, and standards
Lead multiple teams and enforce data excellence
Drive data-driven insights with senior leadership to enable Corient’s business
Champion innovation in data tools and practice
Design and maintain the overall architecture of the enterprise data landscape, ensuring high availability, robustness, and scalability. Own review of all changes and go forward roadmap
Improve performance for legacy data pipelines, with an acute focus on processing
Build and maintain integrations from 10+ source systems like Salesforce, Addepar, eMoney, Workday, etc.
Build normalization techniques for the ingested data and maintain a golden copy record
Own data governance, data quality, and data management best practices with heavy focus on financial data
Own comprehensive enterprise-level metrics and reports on data performance, quality, and error rates
Collaborate with cross-functional leaders 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
Own data architecture, including full data design documentation and architectural diagrams
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) and integrations built on AKS
Productize data deliverables for Reporting and Analytics consumption
Qualifications & Requirements
Experience on par with Director
Capable of defining and executing data strategy
Experienced in overseeing multiple teams
Skilled at driving strategic decisions with data insights
Strong executive communication skills and experience
Minimum 10+ years of work experience in data engineering-related roles
Advanced 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
Expertise of data modeling best practices, including Data Warehousing and Governance
Strong 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
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
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 $146,000-190,000 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.
Director Data Engineering • Chicago, IL, US