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Automation Engineering Manager Jobs in Dacula, GA

Mainframe Automation Engineer Job Location : Atlanta, GA (Remote) Job Type : Full-Time Must Have ... event management, remote console access & paging. * Responsible for all automation tool ...

Controls Engineering Manager

Suwanee, GA · On-site

$77K - $100K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

If you're passionate about automation, robotics, and pushing the boundaries of technology, this ... Lead and manage a team of engineers, providing guidance, mentorship, and performance evaluations

Controls Engineering Manager

Suwanee, GA · On-site

$77K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you're passionate about automation, robotics, and pushing the boundaries of technology, this ... Lead and manage a team of engineers, providing guidance, mentorship, and performance evaluations

Senior Automation Engineer

Lawrenceville, GA · On-site

$95K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

We offer both engineering and project consulting services. Our engineers specify control system ... HMI Management: Support and upgrade associated HMI systems, specifically Wonderware Process Suite ...

Controls Engineering Manager

Suwanee, GA · On-site

$77K - $100K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you're passionate about automation, robotics, and pushing the boundaries of technology, this ... Lead and manage a team of engineers, providing guidance, mentorship, and performance evaluations

TN, KY, AL, GA, NC Summary: We're in search for a Senior Automation Developer that is ready to ... Superior time and project management skills. * Excellent problem solving/analytical skills and ...

Showing results 41-60

Automation Engineering Manager information

See Dacula, GA salary details

$82.8K

$127K

$159.6K

How much do automation engineering manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for automation engineering manager in Dacula, GA is $127,027.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $147,200.00 per year, depending on experience, location, and employer.

What does an automation engineering manager do?

An Automation Engineering Manager oversees the design, implementation, and optimization of automated systems in manufacturing or software development. They lead a team of engineers to improve efficiency, reduce costs, and enhance productivity through automation technologies. Responsibilities include project management, system integration, troubleshooting, and ensuring compliance with industry standards. They collaborate with other departments to align automation strategies with company goals. Strong technical expertise, leadership skills, and problem-solving abilities are essential for this role.

What are the key skills and qualifications needed to thrive as an automation engineering manager?

An Automation Engineering Manager should have a strong background in automation technologies, process improvement, project management, and a relevant engineering degree. Familiarity with PLC/SCADA systems, robotics, industrial control systems, and certifications such as PMP or Six Sigma is often required. Excellent leadership, problem-solving, and communication skills help drive team performance and foster cross-functional collaboration. These capabilities are essential for delivering efficient automation solutions, ensuring project success, and guiding multidisciplinary teams in fast-paced environments.

What are some typical challenges faced by automation engineering managers in their day-to-day work?

Automation Engineering Managers often balance multiple projects and deadlines while ensuring high quality and compliance with industry standards. A common challenge is integrating new automation technologies with existing systems, which requires careful planning and troubleshooting. Collaboration with cross-functional teams—including operations, IT, and maintenance—is crucial for aligning technical solutions with business goals. Additionally, staying current with emerging automation trends and training team members on new tools is a key part of the role, helping drive continuous improvement and operational efficiency.

What are popular job titles related to Automation Engineering Manager jobs in Dacula, GA?

For Automation Engineering Manager jobs in Dacula, GA, the most frequently searched job titles are:

What cities near Dacula, GA are hiring for Automation Engineering Manager jobs?

Cities near Dacula, GA with the most Automation Engineering Manager job openings:

Infographic showing various Automation Engineering Manager job openings in Dacula, GA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $127,027 per year, or $61.1 per hour.

Analytics Engineering Manager

Sequoia Connect

Atlanta, GA • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Degree holders for the visa application process.At Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your "Human OS" and accelerating your growth through world-class, high-impact projects.

We are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their "Automate Everything, Cloudify Everything" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.

This is your chance to thrive in a "Customer Success, First and Always" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.

We are currently searching for a Analytics Engineering Manager:

The Challenge (Responsibilities)

  • Define analytics strategy, KPI frameworks, and data product standards across teams.
  • Own the enterprise semantic/reporting layer strategy across QuickSight/Tableau and Redshift/Athena.
  • Partner with data engineering and architecture on domain models, data contracts, and self-serve analytics capabilities.
  • Establish and enforce data quality, documentation, and review processes; own escalation and resolution paths for analytics issues.
  • Lead and mentor analysts; manage capacity, prioritization, and quality across multiple workstreams.
  • Communicate insights and trade-offs to executives; drive decision-making with clear narratives and measurable outcomes.
  • Optimize cost and performance of analytical workloads; recommend storage/query patterns (e.g., Redshift vs. Athena vs. row-level caching).
  • Ensure compliance with data governance, privacy, and security standards; steward access policies in coordination with platform teams.

Your Profile (Requirements)

  • Degree holders for the visa application process.
  • Leadership of analytics programs and teams; proven stakeholder and executive communication.
  • Mastery of SQL and performance engineering on Redshift; deep Athena/S3 expertise (partitioning, Parquet/ORC, Glue cataloging).
  • Expert BI architecture and governance in QuickSight/Tableau, including semantic layers and certification processes.
  • Advanced Python for analytics automation, reproducibility, and standards.
  • Deep understanding of dimensional modeling, domain-driven design for analytics, and metric governance.
  • Strong grounding in data quality frameworks, documentation practices, and analytics SDLC (versioning, review, release).
  • High-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.
  • Technologist DNA: A deep understanding of the difference between "coding" and "engineering."

Desired

  • Experience influencing data platform architecture decisions; familiarity with Redshift Spectrum, RA3 architecture, concurrency scaling.
  • Exposure to cost optimization and workload management at scale; capacity planning and SLA definition.
  • Good understanding of using AI tools like Github Copilot or similar for code productivity.
  • Familiarity with cloud-native foundations or AI coding assistants.

Languages

  • Advanced Oral English: For seamless collaboration with global teams.
  • Advanced Spanish.

Special Notes

  • Our Client is a leading organization in the financial services sector.

Work Arrangement

We value flexibility to support your lifestyle. This position is available as:

  • Remote


If you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/


Requirements
  • Leadership of analytics programs and teams; proven stakeholder and executive communication.
  • Mastery of SQL and performance engineering on Redshift; deep Athena/S3 expertise (partitioning, Parquet/ORC, Glue cataloging).
  • Expert BI architecture and governance in QuickSight/Tableau, including semantic layers and certification processes.
  • Advanced Python for analytics automation, reproducibility, and standards.
  • Deep understanding of dimensional modeling, domain-driven design for analytics, and metric governance.
  • Strong grounding in data quality frameworks, documentation practices, and analytics SDLC (versioning, review, release).