Data Architect at RSM leading AI - driven data migration initiatives within Salesforce ecosystem. Implementing data governance and optimizing performance across complex datasets.
About the role
- Lead Data Engineer at Verisk Analytics designing and optimizing AWS data platforms. Responsible for mentoring a team and delivering solutions for insurance and financial services clients.
Responsibilities
- Accountable for delivery of data deliveries for top insurance and financial services clients world-wide
- Design, build, and optimize cloud-native data platforms on AWS, including data lakes, data warehouses, and analytics stores.
- Collaborate with BI and analytics platform vendors and internal teams to support production issues, upgrades, and platform enhancements.
- Document data sources on client project and perform gap analysis and identify inflow of bad data into Cloud data warehouse and develop recommendations
- Development of database solutions by designing proposed system; defining database physical structure and functional capabilities, security, back-up, and recovery specifications to internal and external stakeholders
- Work closely with ETL/ELT team for implementing data transformation requirements into the cloud data warehouse.
- Lead, mentor, and coach a team of data engineers, fostering technical excellence and continuous improvement.
- Support onboarding and skill development of team members through guidance, pairing, and code reviews.
- Plan and track delivery commitments, ensuring predictable and high-quality outcomes.
- Partner with product owners, architects, and stakeholders to prioritize work and manage expectations.
- Contribute to hiring by participating in interviews and technical assessments.
Requirements
- 5-8+ years of experience in Python programming, specifically in complex data loading using Python.
- 5-8+ years of hands on (strong) ETL is a must and prior experience in any RDMS experience is a must (Postgres is preferable)
- 2+ years of mandatory hands on experience in AWS cloud technologies, CI/CD(GIT/ BitBucket) and managing data in AWS
- 2+ years of hands-on experience in Snowflake is required.
- Data Mapping expertise, ability to understand business requirements and derive data dictionary and data assets requirement for ETL/ELT and DBA groups.
- Excellent communication skills, both written and verbal and attention to detail.
- Analytical skills is must to understand the requirements and work on the tasks as an individual contributor.
- Ability to collaborate with peers and develop good working relationships.
- Knowledge of data warehousing on the AWS platform is required.
- AWS Certification especially Cloud Practitioner completion is desired.
- Hands on experience with Snowflake will be an asset.
- Hands on experience on Linux shell scripting is preferable.
Benefits
- Professional development and tuition benefits
- Supportive, flexible workplace culture
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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