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Manager Data Analytics Engineer Jobs in Georgia (NOW HIRING)

Years of experience in data engineering or analytics engineering roles. Advanced SQL: Proficiency in advanced SQL techniques for data transformation, querying, and optimization. Azure Databricks ...

Analytics Engineer

Atlanta, GA · On-site +1

$101K - $169K/yr

We are seeking an Analytics Engineer that partners with cross-functional teams within the ... Data pipeline and model management * Supports the development and maintenance of data models using ...

Analytics Engineer

Atlanta, GA · On-site

$101K - $169K/yr

We are seeking an Analytics Engineer that partners with cross-functional teams within the ... Data pipeline and model management * Supports the development and maintenance of data models using ...

Data Engineer - Manager

Atlanta, GA · On-site

$110K - $132K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

... contribute to analytics engineering code with a focus on correctness, performance, and ... management skills • Understanding of data warehousing concepts (fact/dimension models, etc.) • ...

SQL & Data Engineering * Develop advanced SQL queries across relational databases: * Azure SQL ... Metadata management * Data stewardship * Familiarity with Spark SQL or Databricks SQL. Technical ...

Experience with data integration and data quality management * Ability to communicate findings to ... Bachelor's degree in Data Analytics, Information Systems, Business, Finance, Human Resources ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Data Engineer II

Atlanta, GA

$110K - $132K/yr

About This Role The Data & Analytics team consists of data analysts, data engineers and analytics ... Building scalable data pipelines, managing transformation processes, and ensuring data quality and ...

DATA & ANALYTICAL SOLUTIONS: Oversees the development of data products and solutions using big data ... DevOps practices, including code management, CI/CD, and deployment strategies. * DATA GOVERNANCE:

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Showing results 1-20

Manager Data Analytics Engineer information

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a Manager Data Analytics Engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a Manager Data Analytics Engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a Manager Data Analytics Engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.
What are the most commonly searched types of Data Analytics Engineer jobs in Georgia? The most popular types of Data Analytics Engineer jobs in Georgia are:
What are popular job titles related to Manager Data Analytics Engineer jobs in Georgia? For Manager Data Analytics Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Manager Data Analytics Engineer jobs in Georgia look for? The top searched job categories for Manager Data Analytics Engineer jobs in Georgia are:
What cities in Georgia are hiring for Manager Data Analytics Engineer jobs? Cities in Georgia with the most Manager Data Analytics Engineer job openings:

Customer Engineering Manager, Data Analytics, Google Cloud

Google

Atlanta, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

34th of 192 rated software companies


Job description

Job Summary:
Google is a leading technology company, and they are seeking a Customer Engineering Manager in Data Analytics for Google Cloud. The role involves leading a team of technical experts to provide solution advice, influence product roadmaps, and build strong customer relationships in the cloud computing and data analytics space.
Responsibilities:
• Lead a team of Data Analytics technical experts in a matrixed organization. Focus on talent strategy, assessing go-to-market readiness and gaps in CE preparedness, skills development.
• Lead the broader region's Data Analytics technical community, to ensure sub-regional technical contributions, achieve scale through artifact and innovation sharing.
• Influence cross-functional teams, including Product Management and Engineering, ensuring customer needs are represented in product roadmaps and new technology is incubated and scaled.
• Lead the team to work with Google Cloud Platform to demonstrate and prototype our Agentic Data Cloud and AI products or integrations in customer/partner environments.
• Lead and own high impact customer C-level or ITDM relationships who make or influence Data and AI enterprise technology decisions.
Qualifications:
Required:
• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience in pre-sales or field engineering at an enterprise technology company, or similar customer-facing experience.
• Ability to travel up to 25% to customer sites.
Preferred:
• Technical sales experience or professional consulting experience in the fields of cloud computing, data analytics, information lifecycle management, and Big Data.
• People management experience leading technical sales or consulting teams for Cloud Computing or Data Analytics products and platforms.
• Experience influencing cross-functional teams (e.g., Product Management, Engineering, Sales), customers, and partners to impact business goals, customer experience, and customer expansion.
• Thought leader in Data Analytics and adjacent practice areas, specialized in technical sales and strategies around holistic customer and industry solutions.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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