Data Platform Architect & Data Engineer + AWS

Skills Requirements

Job responsibilities

AWS solution architect with experience in handling large databases( SQL, NoSQL Mongo, Redis), data warehouses, data lakes.

Work with teams to understand application requirements and provide guidance on data modeling and database design solutioning .

Architect multi-database solutions, integrating different databases and data processing systems.

Strong Communication, Problem solving skills and ability to work with client directly

Understand and align with company-wide data architecture strategies and best practices

Ensure data security, integrity, and compliance with Penske Standards ( work with the Data Engineering and Data Services teams)

Implement and maintain DB clusters, including replica sets and sharded clusters, ensuring data distribution and fault tolerance

work on database capacity planning and performance as per our application requirements

Conduct regular architecture reviews if needed

Develop, validate, and maintain disaster recovery and high availability strategies for the application SLAs

Translate technical concepts and patterns into business benefits for (Penske) management

Advise team on architectures, patterns, and strategies for making the best use of MongoDB

Proactively seek opportunities to support and mentor Penske team members and share standard methodologies.

Exposure to Designing High-Performance DB design with Highly Scalable, Available, and RPO/RTO Needs

Experience in Sharding/Partition Strategy etc.

Exposure to design and review the DB collections etc

What we offer

Culture of caring.

Learning and development.

Interesting & meaningful work.

Balance and flexibility.

High-trust organization.