Senior Data Architect

A large Asset Management firm is looking for a Data Architect with financial services exp.

This person will l design and implement best-in-class data management solutions for metadata, master data and data quality management to enable data analytics capabilities across the Firm.

Serving as subject matter expert on Microsoft SQL Server and Azure Data Platform

Designing, developing, testing and implementing solutions for the data management functions including metadata, master data and data quality management, with SQL, C#, Power BI, Azure Data Factory, Logic Apps, Event Hub and other vendor platforms

Leading data architecture review sessions for the data acquisition and integration requests, providing recommendations to the team

Independently executing complex data analysis across multiple platforms using SQL, Excel and Power BI

Optimizing data infrastructure and implementing best practices

Confidently participate in meetings and manage frequent communications with key stakeholders and senior management

Candidate Requirements

Qualifications & Experience:

7+ years of experience in a similar role in the Financial Services industry

5+ years of experience in a data architect role including enterprise data architecture models, data governance principles, system integration and cloud data platforms

Hands-on experience implementing metadata management and data quality solutions to manage data assets in complex organizations is required

Experience delivering master data management solutions to organizations is required

Expertise in architecting, designing and implementing data solutions with SQL Server and Azure data platform:

o 4+ years of hands-on experience with Azure data component and services, including Azure SQL Database / Managed Instance, Azure Event Hub, Data Factory, Data Lake, Azure Logic App, Synapse, Azure Data Function and other related tools

o 2+ years of experience in data warehouse implementation with SQL Server

o 2+ years of experience building automated ETL/ELT or data integration processes with multiple source systems.

o Experience with version control system and CI / CD pipeline in Azure DevOps

Exceptional data analysis skills and strong attention to detail are required including leveraging SQL and Power BI to complete the analysis.

Full lifecycle experience implementing data & analytics solutions with a working knowledge of agile development, SCRUM and DevOps

Experience with Snowflake, Microsoft Purview or SQL Server Master Data Services is preferred

Exceptional interpersonal, verbal, written and presentation skills

Motivated by a fast-paced, growing, and complex environment, team-oriented and able to multitask

Experience executing small to medium-sized projects and a general understanding of Project Management principles are desired

Results-oriented with a high level of personal accountability

Abide by our work-in-office policies then in effect