What are the responsibilities and job description for the Data & Analytics Architect position at MassMutual?
At MassMutual, we are dedicated to empowering millions of individuals to achieve financial independence, a commitment that fuels our journey to create highly interactive digital experiences for our customers. As part of our Data Platform Data Engineering team, we are seeking Data Engineers who are enthusiastic about utilizing data to drive impactful business outcomes.
As a Data Engineer - you are proficient in design, development, and review of data pipelines towards Analytical and Operational data.
The Data Engineering team in Enterprise IT Product and Operations Technology organization, is comprised of highly skilled, collaborative, problem solvers who are motivated to create innovative solutions that exceed the changing needs of our customers and move MassMutual forward. As a Data Engineer you will be transforming complex data into actionable insights and are committed to a culture of growth and evolving capabilities in the dynamic field of data engineering.
Define and establish a Data Integration Strategy which will enable the systems integrations moving from point-to-point to passthrough model.
Design, develop and implementation of data integration solutions supporting batch / ETL and API-led integrations that deliver tangible business value.
Develop policies around data quality, data security, data retention, data stewardship, and proactively identify and support project impacts.
Work in a team-based environment including a global workforce, vendors, and third-party contractors.
Actively participate in our Agile development processes, contributing to team meetings and delivering incremental improvements.
Collaborate with cross-functional teams to understand data requirements and deliver reliable data solutions.
Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency.
Assist in the design and development of APIs for seamless data integration across platforms.
Bachelor’s degree in computer science, Engineering, or a related field.
5 years of Data engineering experience in designing / building complex data pipelines supporting data analytics and data warehousing.
4 years working with Data and relevant computation frameworks and system.
4 years using Python programming language.
5 years’ experience in writing SQL and query optimization.
3 years of experience with Cloud Technologies preferably AWS.
3 years of experience working with columnar databases such as AWS Redshift, Snowflake, Databricks, Vertica etc.
Master’s degree in computer science or engineering.
Cloud Technologies : Proven experience in a cloud computing environment, preferably AWS (S3, EC2, Kubernetes, Terraform, etc.).
Python : Practical development and data analysis experience using Python.
Advanced Data Processing : Knowledge in using data processing technologies such as Apache Spark or Kafka.
Experience with data reporting and visualization tools (e.g., MicroStrategy, Tableau) and data cataloging tools (e.g., Experience with Agile data engineering principles and methodologies
Experience in data warehousing and familiarity with data warehousing concepts and terminologies.
Capable of troubleshooting and conducting root cause analysis to address and resolve data issues effectively.
Analyze and develop physical database designs, data models and metadata
Regular collaboration with the Data Platform Data Engineering team.
Networking opportunities including access to diverse Business Resource Groups.
Engage with learning content on Degreed and other platforms to enhance your skills.
MassMutual is an Equal Employment Opportunity employer Minority / Female / Sexual Orientation / Gender Identity / Individual with Disability / Protected Veteran. Note : Veterans are welcome to apply, regardless of their discharge status.
If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
