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Acuity · 1 month ago

Senior Manager Data Engineering

Atlanta, GA

Full-time

Hybrid

Senior Level, Lead/Staff

$151K/yr - $272K/yr

10+ years exp

Acuity Inc. is a market-leading industrial technology company that designs and manufactures innovative products and services. They are seeking a Senior Manager Data Engineering to lead the data engineering team and build a modern, AI-ready data ecosystem on the Azure Data Platform, ensuring enterprise data is integrated and readily consumable for analytics and ML/AI use cases.

ElectronicsLightingManufacturingSmart BuildingSmart Home

H1B Sponsor Likely

Responsibilities

Lead, mentor, and grow data engineers and BI engineers, fostering a high-performance, collaborative culture

Define and execute the data engineering roadmap aligned with enterprise AI and analytics strategies

Collaborate with cross-functional teams (product, finance, IT security, operations) to ensure data priorities support business outcomes

Architect and oversee ingestion, transformation, and integration of diverse data sources (structured/unstructured, batch/streaming)

Partner closely with ML/AI teams to understand data requirements, design AI-ready datasets, and ensure data pipelines support model training and inference

Enable CI/CD integration of ML models into production data pipelines and APIs

Build domain-oriented, enriched datasets that power analytics, operational insights, and advanced AI/ML use cases

Oversee the data marketplace / catalog to ensure discoverability, secure access, and auditability

Implement access controls, encryption, and audit trails for PII/SPII and regulated data

Ensure adherence to SOX, GDPR, CCPA and internal compliance standards

Drive data quality, lineage, and governance initiatives using enterprise data marketplace tool

Drive data democratization by making curated, governed data easily accessible to business users and power users

Partner with BI and analytics teams to build semantic layers and data models that accelerate consumption in Power BI and other tools

Lead data literacy programs to ensure stakeholders “speak data” and use a consistent, trusted source of truth across the organization

Evangelize data sharing internally and externally, making it seamless for partners, vendors, and agencies while ensuring compliance and governance

Champion the use of data to enable timely, actionable insights that directly impact decision-making and business outcomes

Monitor performance, optimize cost, and drive reliability across pipelines, Lakehouse, and warehouse environments

Champion DataOps practices including automation, CI/CD pipelines, testing, and monitoring

Collaborate with Enterprise Architects to align with enterprise-wide standards and future-state data architecture

Partner with Finance to implement FinOps practices that balance scalability with cost efficiency

Stay ahead of emerging trends (GenAI, data mesh, real-time APIs, external data monetization) and recommend adoption where relevant

Evaluate, select, and manage external vendors, tools, and technologies to strengthen the data ecosystem

Drive innovation and experimentation while ensuring long-term platform stability and governance

Qualification

Data EngineeringAzure Data PlatformML/AI IntegrationData GovernanceDatabricksPower BIDataOpsCompliance FrameworksStakeholder ManagementTeam LeadershipCross-functional Collaboration

Required