Senior Data Engineer

Corient; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Corient is seeking a Senior Data Engineer to enhance data-driven decision-making through a large-scale data platform. In this role, you will design data architecture, handle integrations, and ensure data quality while collaborating with stakeholders across departments. If you have a strong background in data analytics and engineering, we'd love to hear from you.

Benefits

401(k) Plan with Employer Matching

Medical Plan options subsidized by Corient

Employer paid Dental, Vision, & Life Insurance

Employer paid Short-term & Long-term Disability

Paid Maternity & Parental Leave

Flexible Spending Accounts & Health Savings Accounts

Commuter & Transit FSA

Corporate Discount Program - Perkspot

Training Reimbursement

Paid Professional Designations

Qualifications

• 4+ years of experience in data engineering roles.
• Proficiency in SQL and Python required.
• Understanding of data modeling and governance best practices.

Responsibilities

• Design and maintain the overall architecture of the enterprise data landscape.
• Build and maintain integrations from 10+ source systems.
• Drive development of the next generation Data Layer infrastructure.

Skills

SQL

Python

DBT

Tableau

Excel

Data Governance

Data Quality

ETL

Education

Distinguished academic track record in quantitative discipline

Tools

Azure

Databricks

Job description

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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

In this role, 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 a large scale data platform

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

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 from 10+ 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 errors.
• 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 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

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

In this role, 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 a large scale data platform

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

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 from 10+ 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 errors.
• 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 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

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

• Must be 18 years of age or older.
• Must be willing to submit to a background investigation; any offer of employment is conditioned upon the successful completion of a background investigation.
• Must have unrestricted work authorization to work in the United States. For U.S. employment opportunities, Corient hires U.S. citizens or permanent residents. Exceptions to these requirements will be determined based on shortage of qualified candidates with a particular skill. Corient will require proof of work authorization.
• Corient participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
• Must be willing to execute Corient’s Employee Agreement or Confidentiality and Non-Disclosure Agreement, which require, among other things, post-employment obligations relating to non-solicitation, confidentiality, and non-disclosure.

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:

• 401(k) Plan with Employer Matching
• Four Medical Plan options that is generously subsidized by Corient
• Employer paid Dental, Vision & Life and AD&D Insurance
• Employer paid Short-term & Long-term Disability
• Paid Maternity & Parental Leave
• Flexible Spending Accounts & Health Savings Accounts
• Dependent Care FSA
• Commuter & Transit FSA
• Corporate Discount Program - Perkspot
• Training Reimbursement
• Paid Professional Designations
• Giving back to the community - Volunteer days

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.

Seniority level

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Employment type

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