Job Title: Data Engineering Tech Lead-AWS
Location: Houston, TX (Hybrid)
Long Term : Contract-to-Hire
Role Summary:
We are seeking a hands-on Data Engineering Tech Lead to strengthen and modernize our Data Platform supporting outbound supply chain analytics and real-time data flows.
This role will lead technical design, elevate engineering standards, and improve platform reliability, performance, and scalability across batch and near real-time workloads.
The ideal candidate combines strong architectural thinking with deep hands-on engineering experience and a passion for building stable, high-quality data systems.
Key Responsibilities:
Establish and enforce data architecture standards, modeling best practices, and engineering guardrails
Drive improvements in platform stability, monitoring, observability, and alerting
Improve CI/CD practices and automate deployment processes for data workloads
Optimize Redshift and database performance, including cost and workload management
Strengthen data quality controls, validation logic, and governance practices
Review code, mentor engineers, and raise overall technical standards across the team
Support modernization efforts, including refactoring legacy ETL workflows
Collaborate with cross-functional teams to ensure reliable and secure data access
Required Skills:
8+ years in Data Engineering
Strong hands-on experience with:
AWS (Redshift, Aurora Postgres, S3, Lambda)
SQL performance tuning
Python-based ETL
Data modeling (operational + analytical)
Experience implementing CI/CD for data platforms
Strong understanding of observability and monitoring frameworks
Experience working with cross-functional architecture teams
Digitive LLC is an Equal Opportunity Employer/Partner, dedicated to fostering an inclusive environment. We do not discriminate based on race, religion, gender, nationality, caste, disability, or any legally protected characteristic. We ensure opportunities for all, based on skills, qualifications, and performance."