Senior Data Architect

Securing data in alignment with internal information and data security policies, best practices and client requirements

Creating and implementing robust cloud-based data solutions that scale effectively, underpinned by well-designed platform data models and analytical frameworks — including medallion architecture (Bronze/Silver/Gold) and Delta Lake patterns — that provide powerful experiences for both internal teams and clients

Performing unit tests and conducting reviews with other team members to make sure solutions are rigorously designed, elegantly coded, and effectively tuned for performance, including formal platform architecture reviews to validate data flows and platform design against business requirements and enterprise standards

Staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities and mentoring other members of the engineering community, with a focus on advancing data platform modeling and analytics capabilities across the practice

Perform other duties as assigned

Bachelor’s and/or master’s degree in a related field..

10+ years of experience developing data technologies, with significant depth in data platform modeling — including defining data domains, data products, information flows, and platform reference architectures on lakehouse platforms such as Databricks, including Delta Lake, Unity Catalog, and medallion architecture design.

10+ years of experience deploying ETL/ELT solutions in production environments, preferably using Spark-based platforms such as Databricks, with strong proficiency in data analysis and profiling to inform platform design decisions and support reporting needs.

10+ years of experience developing cloud-based data services, preferably in AWS or Azure, with emphasis on data governance, metadata management, and data catalog practices within lakehouse platforms such as Databricks Unity Catalog.

10+ years of developing and overseeing the development of Python, Scala, Java, .Net or similar solutions — including PySpark and Databricks notebooks — combined with strong SQL skills and experience with BI/reporting tools (e.g., Power BI, Tableau) to support analytical deliverables

10+ years of database/query tuning, including experience in data quality assessment, data profiling, and establishing data standards to ensure accuracy and consistency across data assets

10+ years of experience in mixed Windows/Linux environments, with demonstrated ability to partner with business stakeholders to define data requirements, validate data definitions, and deliver analytical insights.

Standard indoor working environment.

Occasional long periods of sitting while working at computer.

Position requires regular interaction with employees at all levels of the Firm and interface with external vendors as necessary.

Independent travel requirement: As Needed

Equal Opportunity Employer: disability/veteran