Lead Software Engineer - Data & API Platforms (Azure)

Acuity Brands, Inc.

Atlanta (GA)

On-site

USD 140,000 - 190,000

Full time

8 days ago

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Job summary

Acuity Inc. in Atlanta, GA seeks an experienced data & integration engineer to translate business requirements into scalable technical solutions for product data across ERP, PLM, PIM, and commerce systems.

The role focuses on performance, security, and cloud-native architecture, building data pipelines, RESTful APIs, and DevOps automation in Azure and AWS, collaborating with multinational teams to drive catalog intelligence.

Qualifications

Bachelor’s degree in computer science, Engineering, or equivalent experience.
3-5+ years of experience with Product Information Management (PIM), Product Catalog, Pricing, Item Catalog Data Enrichment, and CPQ systems.
5+ years of experience with SQL and relational databases.
5+ years of experience with Document Databases such as MongoDB, Cosmos, DynamoDB.
3-5+ years of experience with cloud platforms (Azure, AWS).
3-5+ years of experience with RESTful APIs or similar integration platforms.
5+ years of experience building microservices and event-driven architectures.
5+ years of experience with Docker, Kubernetes.
2+ years of experience with Elasticsearch.
2-4+ years familiarity with AI/Generative AI for catalog intelligence.
4+ years of Agile methodologies in multinational teams.
Power BI and Grafana monitoring experience.

Responsibilities

Implement and manage integrations between internal systems, third-party applications (Salsify, MuleSoft), and Azure cloud-based platforms.
Build data-driven features and pipelines using Databricks, Python, SQL, EventHub, Service Bus and NoSQL/Graph databases to enhance product insights, catalog completeness, and operational efficiency.
Collaborate with product managers and stakeholders to translate business requirements into technical solutions, including pricing, catalog management, and item-level data enrichment.
Develop RESTful APIs, microservices, and event-driven workflows for high-performance product data processing across systems.
Ensure software solutions meet performance, security, and scalability standards in cloud-native environments (Azure, AWS).
Participate in Agile development practices including sprint planning, code reviews, and CI/CD.
Supervise work performed by contract engineers, provide technical guidance, and promote best practices in software engineering, system design, and product data management.
Build seamless product data flows between engineering (PLM), commerce (PIM), integration (MuleSoft), ERP, MDM, and customer-facing applications.
Establish and standardize processes for creating, managing, enriching, and distributing high-quality Product Master Data, including catalog attributes, pricing, and item-level metadata.
Drive integration architecture using MuleSoft, RESTful APIs, or similar platforms to ensure robust, secure, and scalable connectivity across enterprise systems.
Incorporate monitoring and analytics tools (e.g., Elasticsearch, Grafana, Power BI) to support operational transparency, data quality, and product data reliability.
Explore and apply Generative AI for accelerating attribute creation, catalog enrichment, component matching, and intelligent metadata transformation.
Partner with security, data governance, and business stakeholders to enforce standards, ensure compliance, and support scalable innovation.
Perform duties with minimal supervision, manage multiple priorities effectively, and delegate tasks as needed.
Implement DevOps automation, including CI/CD pipelines, infrastructure provisioning (IaC), and deployment strategies.