Database Tech Lead - Noke

Janus International Group; Atlanta (GA); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading company in data solutions is seeking a Database Tech Lead who will take ownership of the core data infrastructure and drive end-to-end solutions across pipelines and production systems. The ideal candidate will have strong expertise in database architecture and AWS technologies to enhance performance and reliability.

Qualifications

• 3 years of database lead experience.
• 3 years in database and data engineering roles.
• Strong understanding of data architecture and high availability systems.

Responsibilities

• Architect, implement, and optimize scalable SQL-based databases.
• Design and manage robust data pipelines using AWS Glue and Apache Airflow.
• Own the stability and reliability of production databases and data flows.

Skills

Database Architecture

SQL Development

Data Pipeline Organization

Performance Tuning

Data Governance

Cloud Technologies (AWS)

Scripting (Python)

Education

BS in Computer Science

Information Systems

Equivalent Experience

Job description

Overview

The role of the Database Tech Lead, will take ownership of our core data infrastructure, drive database architecture, and drive end-to-end solutions across pipelines, orchestration frameworks, and production systems. You’ll ensure our data systems are optimized for speed, reliability, and growth.

Responsibilities

Database Architecture & Design

• Architect, implement, and optimize scalable SQL-based databases, with a focus on AWS Aurora (PostgreSQL/MySQL).
• Leverage AWS services (Aurora, RDS, S3, Glue, Lambda, Redshift, etc.) to build modern, cloud-native data platforms.
• Ensure database schemas are optimized for performance, consistency, and maintainability.

ETL & Data Pipeline Organization

• Design, build, and manage robust data pipelines using AWS Glue and Apache Airflow.
• Ensure data quality, lineage, and consistency across ingestion, transformation, and export layers.

Production Support & Operations

• Own the stability and reliability of production databases and data flows.
• Handle capacity planning, performance tuning, backup/restore procedures, and failover strategies.
• Collaborate with DevOps and SRE to implement observability, alerting, and automated recovery procedures.
• Identify opportunities to improve performance and resilience within the data ecosystem.

Continuous Improvement

• Enhance data governance for schema changes, migrations, and data access control.
• Evaluate new tools and frameworks that improve efficiency, reliability, or scalability of data systems.
• Enhance accountability, testing, and automation in data engineering.

Qualifications

• BS in Computer Science, Information Systems, or a related field, or equivalent experience.
• 3 years of database lead experience
• 3 years of experience in database and data engineering roles
• 3 years of experience in SQL development, query optimization, indexing strategies, and transaction management.
• Strong understanding of data architecture in production systems, including high availability, replication, and disaster recovery.
• Proficiency in at least one scripting or programming language (e.g., Python).

PHYSICAL REQUIREMENTS:

• Regularly required to sit, stand, and walk.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position.