Principal Data Architect

Russell Investments; New York (NY); Hybrid; USD 160,000 - 190,000; Full time

Benefits offered by this job

Healthcare

Retirement benefits

Vacation

Wellbeing programs

Annual performance bonus

Job summary

Russell Investments is hiring a Principal Data Architect in New York, NY. This role involves designing and implementing scalable data architectures and modernizing legacy systems. Candidates should have over 10 years of experience in data architecture, strong SQL skills, and familiarity with cloud platforms like Azure and Snowflake.

The position offers a salary range of $160,000 to $190,000, along with an annual performance bonus and comprehensive benefits program.

Qualifications

• 10+ years of hands-on experience in data architecture or data engineering.
• Strong expertise in SQL and relational databases, preferably SQL Server.
• Experience in building data pipelines using DBT, with a minimum of 3 years preferred.
• Proven experience designing and implementing cloud data platforms for at least 5 years.

Responsibilities

• Design and implement scalable data architectures, models, and pipelines.
• Build and optimize data warehouse and lakehouse solutions using modern platforms.
• Lead hands-on data modeling to ensure performance and consistency.
• Execute migration of legacy systems to cloud-based architectures.

Skills

SQL

Data Architecture

Data Engineering

Data Migration

Stakeholder Management

Tools

Snowflake

Databricks

Azure

DBT

SQL Server

Job description

Salary Range: $160,000 USD - $190,000 USD Specific compensation will be based on candidate's experience, skills, qualifications, commercial considerations, and other job-related factors permitted by law. At Russell Investments, salary is just one part of our compensation package. Our total rewards approach includes an annual performance bonus (subject to eligibility criteria) in addition to participation in our competitive benefits programs including healthcare, retirement, vacation, and wellbeing programs.

Job Description

Principal Data Architect - Data Platforms. Russell Investments is seeking a hands-on Principal Data Architect to design and build modern data platforms across our enterprise. This role is focused on practical architecture, data modeling, and platform implementation in a hybrid (on-prem + cloud) environment. You will work closely with engineering, analytics, and platform teams to design scalable data solutions, modernize legacy systems, and enable high-quality data for analytics and AI/ML use cases.

Key Responsibilities

• Design and implement scalable data architectures, models, and pipelines for analytics and operational use cases.
• Build and optimize data warehouse and lakehouse solutions using modern cloud platforms (Snowflake, Databricks, Azure).
• Lead hands-on data modeling (3NF, dimensional, Data Vault) to ensure performance, consistency, and reuse.
• Execute migration of legacy systems (SQL Server, on-prem) to cloud-based architectures, including hybrid patterns.
• Implement data quality, MDM, and governance standards directly within data pipelines and models.
• Enable AI/ML use cases by designing reliable, well-structured, and observable data pipelines.
• Collaborate with engineering and analytics teams to deliver production-ready data solutions and guide technical design.

Qualifications

• 10+ years of hands-on experience in data architecture or data engineering.
• Strong expertise in SQL and relational databases (SQL Server preferred).
• Experience building data pipelines using DBT (3+ years preferred).
• 5+ years of proven experience designing and implementing cloud data platforms (Azure preferred).
• Deep knowledge of data modeling (3NF, dimensional, Data Vault).
• Experience with data warehouse/lakehouse design and optimization.
• Hands-on experience with data migration and hybrid architectures.
• Excellent communication and stakeholder management across technical and business domains with a demonstrated ability to translate architecture into business outcomes.

Preferred Qualifications

• Experience with Snowflake, Databricks, Spark, or Python.
• Familiarity with data quality, observability, and governance tools.
• Exposure to AI/ML data pipelines or MLOps frameworks.
• Financial services or investment domain experience.

This role is not eligible for employment-based immigration sponsorship. Applicants must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Equal Employment Opportunity

Russell Investments is committed to providing equal employment opportunities for all associates and employment applicants regardless of race, religion, ancestry, creed, color, gender (including gender identity which refers to a person's actual or perceived sex, and includes self-image, appearance, behavior or expression, whether or not different from that traditionally associated with a person's biological sex), age, national origin, citizenship status, disability, medical condition, military status, veteran status, marital status, sexual orientation, past or present unemployment status, or any other characteristic protected by law.