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Google Bigquery Jobs in Georgia (NOW HIRING)

TecTammina

Google Cloud Lead

Atlanta, GA · On-site

Architect and Design distributed data processing solutions on Google Cloud Platform, BigQuery and DataFlow Collaborate with product managers, data scientists, business users and other engineers to ...

MM International

Google Analytics Architect

Atlanta, GA · On-site

Google Analytics Architect Atlanta, GA We are seeking a strategic and results-driven Analytics ... Conduct advanced data analysis using BigQuery and other tools to uncover trends, opportunities, and ...

Deloitte

Google AI Architect

Atlanta, GA · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Architect

Atlanta, GA · On-site

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Lead Architect

Atlanta, GA

$53.25 - $72.75/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

Deloitte

Google AI Lead Architect

Atlanta, GA · On-site

$53.25 - $72.75/hr

Build RAG and agentic solutions using Vertex AI Vector Search and BigQuery vector; implement ... Google Professional Machine Learning Engineer certification or the equivalent ML certification.

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Google Bigquery information

What are jobs in Google Bigquery?

Jobs related to Google BigQuery typically involve managing, analyzing, and optimizing large datasets using SQL and cloud-based tools. Common roles include data analyst, data engineer, and database administrator, often requiring knowledge of cloud platforms, data warehousing, and scripting. These positions may require certifications like Google Cloud Professional Data Engineer and familiarity with BigQuery's features and best practices.

Is Google Bigquery hard to learn?

Google BigQuery is a cloud-based data warehouse that requires understanding SQL and data analysis concepts. While it has a learning curve for beginners, many resources and tutorials are available to help new users become proficient quickly.

What are the key skills and qualifications needed to thrive in the Google BigQuery position?

To excel in a Google BigQuery role, proficiency in SQL, data warehousing concepts, and cloud architecture is essential, often supported by a relevant degree in computer science or data analytics. Familiarity with the Google Cloud Platform (GCP), BigQuery-specific tools, and related certifications like Google Professional Data Engineer are highly valued. Strong analytical thinking, attention to detail, and effective communication skills help professionals distill complex data sets and collaborate across teams. These competencies are vital for efficiently managing, analyzing, and leveraging large-scale data within organizations to drive actionable business insights.

What is a Google BigQuery?

A Google BigQuery job is an asynchronous task used to run queries, load data, export data, or copy data within BigQuery. Each job is assigned a unique job ID and executes in the background, meaning it doesn't require continuous user interaction. There are different types of jobs: query jobs for running SQL queries, load jobs for importing data, export jobs for extracting data, and copy jobs for duplicating tables. Jobs can be managed and monitored through the BigQuery UI, CLI, or API.

What are some typical projects or challenges faced by professionals working with Google BigQuery?

Professionals working with Google BigQuery often tackle projects involving the integration, analysis, and visualization of massive data sets to support business decision-making. Common challenges include optimizing query performance, managing data security and governance, and designing scalable data pipelines to handle rapidly growing information. Day-to-day, you might collaborate with data engineers, data analysts, and business stakeholders to interpret results and translate findings into actionable strategies. This role offers the opportunity to stay at the forefront of cloud data technologies while making a measurable impact on organizational goals.

What are the most commonly searched types of Google Bigquery jobs in Georgia?

The most popular types of Google Bigquery jobs in Georgia are:

What are popular job titles related to Google Bigquery jobs in Georgia?

For Google Bigquery jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Google Bigquery jobs in Georgia look for?

The top searched job categories for Google Bigquery jobs in Georgia are:

Google Bigquery jobs near you
Infographic showing various Google Bigquery job openings in Georgia as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution.

Google BigQuery Analytics Architect

NAVA Software Solutions

Atlanta, GA • On-site

Full-time

Re-posted 28 days ago

Job description

NAVA Software solutions is looking for a Google BigQuery Analytics Architect
Position: Google BigQuery Analytics Architect
Location: Atlanta, GA ( Hybrid 2-3 days)
Duration: 12 months
Job description:
We are seeking a strategic and results-driven Analytics Architect to spearhead our data analytics initiatives and deliver actionable insights that drive business performance. This role requires deep expertise in Google BigQuery, GA4 (Google Analytics 4), and Looker dashboards, along with strong leadership and communication skills. The ideal candidate will manage a team of analysts, define data strategies, and ensure our analytics ecosystem is optimized for scalability and impact.
Key Responsibilities:
  1. Data Strategy Development:
    1. Define and implement the organization's data analytics strategy aligned with business goals.
    2. Identify and prioritize key analytics projects to optimize decision-making and performance.
  2. Team Leadership:
    1. Lead, mentor, and manage a team of analysts and data professionals.
    2. Foster a collaborative and innovative team environment.
  3. Data Analysis and Insights:
    1. Conduct advanced data analysis using BigQuery and other tools to uncover trends, opportunities, and potential risks.
    2. Provide actionable recommendations to stakeholders across departments.
  4. Tool and Technology Management:
    1. Oversee the selection, implementation, with a focus on GA4, BigQuery, and Looker
    2. Ensure data systems are scalable and optimized for business needs.
  5. Stakeholder Collaboration:
    1. Collaborate with cross-functional teams, including marketing, sales, operations, and product development, to address data needs.
    2. Present findings and insights in a clear and impactful manner to non-technical stakeholders.
  6. Data Governance:
    1. Establish and enforce data governance policies and practices.
    2. Ensure compliance with data security and privacy regulations.

Qualifications:
  1. Education:
    1. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  2. Experience:
    1. Proven experience (5+ years) in analytics, business intelligence, or a related domain.
    2. Prior experience in managing or leading teams is preferred.
  3. Technical Skills:
    1. Expertise in Google BigQuery, GA4, and Looker dashboards (mandatory).
    2. Strong knowledge of SQL, Python, R, or other data analysis/programming languages.
    3. Experience with big data technologies like Hadoop, Spark, or cloud platforms (AWS, GCP, Azure).
    4. Experience with Google Tag Manager and A/B testing tools (e.g., Optimizely).
  4. Soft Skills:
    1. Excellent problem-solving and critical-thinking skills.
    2. Strong communication and interpersonal skills to interact with stakeholders at all levels.
  5. Certifications (Preferred):
    1. Google Analytics 4 Certification, Looker Certification, or Google Cloud Data Analytics Certification.
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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