Staff Engineer II – Master Data Management

Role Overview

• provide expertise in a suite of technical tools and products in a given domain to ensure solutions are safe, secure, compliant and reliable
• identify develop and support needs
• take on design responsibilities supporting project tasks
• facilitate dialogue and activities to ensure team collaboration with teams outside of your domain
• develop effective presentations and narratives for teams
• contribute to or oversee data solutions in areas such as implementing enterprise data warehouse and analytics data store solutions
• support Data Governance, including data profiling for source systems, identifying critical data elements, and managing the business glossary
• assist with ad hoc business inquiries by extracting data from primary and secondary sources using SQL queries or PowerBI dashboards
• lead the strategic planning of a project as it relates to technical solution design
• design and implement engineering principles aimed at reliability practices and sound recovery procedures
• develop and maintain technical documentation, including system configurations and procedures while also ensuring compliance with IT policies, procedures, and industry standards
• lead the design, development, and maintenance of MDM solutions using Profisee
• develop and implement data quality rules and processes within Profisee to ensure data accuracy and consistency
• establish and implement survivorship rules, business rules, and workflow automations
• diagnose and resolve long-running processes, as well as memory and CPU performance concerns
• address and correct scheduling inefficiencies within the system
• design and implement Azure DevOps CI/CD pipelines to facilitate the deployment of Profisee deliverables
• participate in the full MDM implementation lifecycle, including requirements gathering, design, development, testing, deployment, and support.

Requirements

• 7+ years of related experience with MDM solutions using Profisee or any other MDM tools
• 3+ years’ experience designing, implementing, and supporting cloud data solutions; Azure Data Lake Storage, Azure Data Factory, Azure Data Services, Azure Logic Apps etc.
• Bachelor's degree in related field required
• Previous leadership experience preferred
• Intermediate level experience with at least one RDBMS and query language such as T-SQL, PL/SQL, Spark SQL
• Intermediate level experience in conceptual, logical, and physical data design
• Certifications within Azure such as Azure Fundamentals, Azure Data Engineer, Azure Data Scientist, and/or Azure DevOps Engineer preferred
• Familiarity with multi-cloud data management and transformation platforms or tools such as Databricks, Snowflake etc.
• Experience integrating with data quality, data catalog and data lineage tools preferred
• Intermediate to advanced knowledge of general Financial Services or Banking is preferred
• Advanced knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices
• Advanced proven experience in leading cross-functional teams and managing multiple projects simultaneously
• Additional experience with pipeline development and leveraging Azure DevOps while working on multiple projects simultaneously
• Advanced ability to see the big picture and align projects with organizational goals
• Capable of leading and motivating cross-functional teams
• Expertise in resolving conflicts and addressing challenges as well as skilled at identifying and mitigating risks at the project level
• Proficient in governance patterns tied to intake, technical reviews and architectural compliance
• Advanced speaking and writing communication skills
• May require up to 25% travel.

Tech Stack

• Azure
• Cloud
• RDBMS
• Spark
• SQL

Benefits

• competitive salaries
• an ownership stake in the company
• medical and dental insurance
• time off
• a great 401k matching program
• tuition assistance program
• an employee volunteer program
• a wellness program