Sr.database Engineer- Irvine, CA- Onsite Jobs in Irvine ,CA,US

Client is looking for a Sr. Database Engineer to be a technical authority and lead designer of our high-performance data environments. You are a "builder" who views databases as code-equally skilled at deep SQL performance tuning as you are at building automated deployment pipelines for global-scale clusters. You thrive on the challenge of high-stakes, large-scale data systems. As a key client-facing expert, you will guide our clients away from legacy "babysitting" models toward modern, self-healing, cloud-native database architectures on AWS.

What You'll Do Architect Scalable Data Systems:

Design and oversee the implementation of enterprise-scale relational (RDS, Aurora) and NoSQL (DynamoDB, DocumentDB) database architectures.

Engineer Database Automation:

Develop "Database-as-Code" using Terraform or CloudFormation to automate provisioning, scaling, and recovery processes across multi-region environments. Optimize for

Performance:

Act as the final authority on complex performance tuning, including query optimization, indexing strategies, and hardware-level bottleneck analysis. Modernize for

AI:

Design and implement specialized data storage solutions, such as vector databases (Amazon OpenSearch, pgvector), to support Generative AI and RAG-based applications. Set the

Standards:

Define and enforce best practices for data modeling, security (encryption at rest/transit), and high-availability/disaster recovery (RPO/RTO) across the practice.

Lead & Mentor:

Act as a technical mentor for junior engineers, leading deep-dive design reviews and fostering a culture of operational excellence. What You Bring (Requirements)

Professional Experience:

8-12+ years in database administration or engineering, with at least 4+ years in a Senior Engineering role focusing on cloud environments.

AWS Database Mastery:

Expert-level knowledge of the AWS database ecosystem (Aurora, RDS, DynamoDB, Redshift).

Coding & Scripting:

Proven mastery of Python and Advanced SQL for automation and sophisticated data manipulation. Infrastructure as Code (IaC): Deep experience with Terraform or AWS CDK to manage database infrastructure.

Data Modeling:

Expert-level understanding of both relational and non-relational data modeling techniques.

Client-Facing Excellence:

Exceptional skills in leading technical workshops and translating ambiguous business needs into high-performance technical designs.

Startup Mentality:

A "builder" mindset with a focus on impact, ownership, and the agility to solve "unsolvable" technical challenges. Bonus Points (Nice-to-Haves)

Certifications:

AWS Certified Database - Specialty or AWS Certified Solutions Architect - Professional.

AI/ML Fluency:

Experience with vector databases and preparing data pipelines for LLM integration.

Consulting Background:

Experience in a Professional Services or global consulting environment.