Sr. Data Modeler

Position Summary

The Sr. Data Engineer / Data Modeler is a hands-on technical role focused on full stack development within the Enterprise Data organization. The role will pay curtail part in shaping future big data and analytics initiatives.

Principal Responsibilities

• Design and implement Medallion Architecture, dimensional models (Star/Snowflake schemas), and metadata-driven modeling approaches for enterprise data warehouses
• Develop canonical and semantic data models with effective SCD handling techniques that align with business requirements and analytical needs
• Write and optimize advanced SQL queries in Snowflake (or similar platforms) to ensure efficient data processing and warehouse performance
• Align data models with ELT/ETL pipelines and analytics frameworks to create scalable data structures that grow with business demands
• Designs and develops code and data pipelines to ingest from relational databases (Oracle, SQL Server, DB2, Aurora), file shares, and web services
• Streaming ingestion with Kinesis Streams, Kinesis Firehose, Kinesis Analytics and Kafka(MSK)
• Build Data Lake on AWS S3 with optimal performance considerations by partitioning and compressing data
• Data Engineering and Analytics using AWS Glue, Informatica, EMR, Spark, Athena, Python
• Data modeling and building Data Warehouse using Snowflake
• Designs and develops code and data pipelines to ingest relational databases, file shares, and web services
• Participates in requirements definition, system architecture design, and data architecture design
• Participates in all aspects of the software life cycle using Agile development methodologies

Qualifications

• Experience adopting and championing AI-assisted development practices within a team, including establishing guardrails for responsible use, and coaching engineers to use AI assistance effectively without compromising code quality or security standards
• 5+ years' experience with data modeling tools like sqlDBM, ERWIN, Lucid
• 7+ years of experience in Enterprise Information Solution Architecture, Design, and development required
• 7+ years of experience with integration architectures such as SOA, Microservices, ETL or other integration technologies
• 7+ years of experience with working content or knowledge management systems, search engines, relational databases, NoSQL databases, ETL tools, geospatial systems, or semantic technology
• 5+ years of hands-on experience with AWS services (S3, Kinesis, Lambda, Athena, Glue, EMR) required
• 5+ years of analytics tools like SAS, R, Python, and other advanced statistical software
• Experience with JSON or XML data modeling required
• Experience with Git/GitHub, branching, and other modern source code management methodologies required
• Domain knowledge of NoSQL or relational database required
• Understanding of database architecture and performance implications required
• Experience with Machine Learning and Artificial Intelligence
• Ability to multi-task effectively
• Ability to work collaboratively as part of an Agile Team
• Extensive knowledge and experience with Python, JavaScript and Java
• Excellent written and verbal communication skills, sense of ownership, urgency and drive
• Bachelor's degree in computer science, Computer Information Systems, Engineering, Statistics or closely related field (willing to accept foreign education equivalent) (required)
• Experience in AWS services for data and analytics (required)
• 5 years of experience in Data Ingestion, Data Extraction, and Data Integration (required)

Pay

• Pay Range: $109,500 - $150,600 DOE
• This position is not sponsorship eligible

Benefits

• Comprehensive medical benefits coverage, dental plans and vision coverage
• Health care and dependent care spending accounts
• Short- and long-term disability
• Life insurance and accidental death & dismemberment insurance
• Employee and Family Assistance Program (EAP)
• Employee discount programs
• Retirement plan with a generous company match
• Employee Stock Purchase Plan (ESPP)
• Paid Time Off (PTO) Benefits