Lead Quality Analyst, AVP

About the position

We are looking for top technical talent to join our team and deliver creative technology solutions for Master Data Management (MDM). The candidate should have a Bachelor's Degree in Computer Science or equivalent or higher and 12+ years of application development overall. We believe that collaboration drives innovation, and our developers are at the key to our business success. We employ people from a diverse set of backgrounds, but primarily we look for creative thinkers who are motivated by challenging problems, a desire to work within a collaborative, team-driven environment, and technological curiosity committed to continuous learning and development.

Responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Data modeling: Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and 'clean' data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities
• Knowledge acquisition; develop and maintain expert domain knowledge, rules, methodologies, ontologies
• Solution implementation leadership; recommend suitable innovative, technological, and logistical solutions
• Requirement documentation; agile stories, functional specs, process flow visualizations, data process modeling change control
• Data analysis; data mapping, definition, quality controls, etc.
• Design, implement and maintain large-scale data pipelines using Python, Databricks
• Provisioning, developing, maintaining and tuning Amazon Oracle RDS
• Test execution support; test case review, defect triage, etc.
• Implementation documentation; SOPs, user guides.

Requirements

• Minimum of 10+ years with expertise in designing and maintaining large-scale data pipelines
• Strong proficiency in building and maintaining stored procedures, triggers and functions in Oracle DB
• Strong proficiency in Python and Databricks (AWS) in production environment
• Strong understanding of Security framework on-prem and in cloud
• Strong proficiency in using DMS to sync data from RDS to Databricks
• Excellent understanding of Big Data technologies, primarily Spark
• Strong understanding of Data Architecture and modelling concepts
• Highly knowledgeable about data warehousing principles and practices

Nice-to-haves

• Knowledge in State Street internal Datawarehouse ESP
• Certification on AWS, Databricks
• Knowledge in State Street security framework

Benefits

• Generous medical care
• Insurance and savings plans
• Flexible Work Programs
• Development programs and educational support
• Paid volunteer days
• Matching gift programs
• Access to employee networks