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Assistant Databricks Architect Jobs in Georgia (NOW HIRING)

... Databricks for our customers. As a technical leader, the person will assist with setting the ... Experience setting end-to-end modern data platforms in Azure including architecture/design ...

... Databricks for our customers. As a technical leader, the person will assist with setting the ... Experience setting end-to-end modern data platforms in Azure including architecture/design ...

Customer Data Strategist

Atlanta, GA ยท On-site

$116K - $151K/yr

... and MDL ( Databricks) to assist with account-to-contact matching methodologies and ensure ... Strong understanding of customer identity, data governance, and marketing data architecture

Customer Data Strategist

Atlanta, GA ยท On-site

$116K - $151K/yr

... and MDL ( Databricks) to assist with account-to-contact matching methodologies and ensure ... Strong understanding of customer identity, data governance, and marketing data architecture

Customer Data Strategist

Atlanta, GA

$116K - $151K/yr

... and MDL ( Databricks) to assist with account-to-contact matching methodologies and ensure ... Strong understanding of customer identity, data governance, and marketing data architecture

Cyber Data Protection Manager

Atlanta, GA ยท Remote

$106K - $144K/yr

Perform the role of mentor and coach to assist junior staff to develop skills by providing feedback ... Hands-on technical experience and/or architecture-level experience with Microsoft Purview ...

Senior DevOps Engineer

Atlanta, GA ยท On-site +1

$125K - $160K/yr

Architecture: Strong understanding of networking, security, and system architecture * AI / MLOps ... Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort ...

$125K - $160K/yr

Architecture: Strong understanding of networking, security, and system architecture * AI / MLOps ... Experience with data platforms (Databricks, Snowflake, Redshift) * GCP experience a plus; comfort ...

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Assistant Databricks Architect information

What is the difference between Assistant Databricks Architect vs Data Engineer?

AspectAssistant Databricks ArchitectData Engineer
Primary FocusDesigning and supporting Databricks architecture and solutionsBuilding, maintaining, and optimizing data pipelines and databases
Required SkillsDatabricks platform knowledge, cloud services, architecture designSQL, ETL, programming (Python, Spark), data modeling
CertificationsDatabricks certifications, cloud certifications (AWS, Azure)None specific, but certifications like Google Cloud Data Engineer are common
Work EnvironmentCloud-based data platforms, collaborative teamsData warehouses, cloud or on-premises environments

The Assistant Databricks Architect focuses on designing and supporting Databricks solutions, while Data Engineers build and maintain data pipelines. Both roles require cloud and data platform knowledge, but the Architect emphasizes architecture design, whereas Data Engineers focus on data processing and pipeline development.

What are popular job titles related to Assistant Databricks Architect jobs in Georgia? For Assistant Databricks Architect jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Assistant Databricks Architect jobs in Georgia look for? The top searched job categories for Assistant Databricks Architect jobs in Georgia are:
What cities in Georgia are hiring for Assistant Databricks Architect jobs? Cities in Georgia with the most Assistant Databricks Architect job openings:
Data Engineer (AI & Data Platforms) - Q126

Data Engineer (AI & Data Platforms) - Q126

R2 Technologies Corporation

Alpharetta, GA โ€ข On-site

$111K - $134K/yr

Full-time

Posted 28 days ago


Job description

Overview:
Job Title: Data Engineer (AI & Data Platforms)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The role of the Data Engineer has fundamentally shifted in 2026. R2 Technologies is seeking an innovative Data Engineer who goes beyond traditional ETL to become a builder of "AI-ready" data foundations. You will be crucial in powering our SmartEnt platform and client AI initiatives by engineering context-rich data pipelines. Utilizing AI coding assistants (GitHub Copilot, Cursor) to automate boilerplate transformations, you will design systems that feed directly into Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures.
Key Responsibilities: * Build and maintain scalable, low-latency data pipelines utilizing modern data stack tools (e.g., dbt, Snowflake, Databricks, Apache Iceberg) to process both structured and unstructured data.
  • Integrate and manage Vector Databases (such as Pinecone, Milvus, or Qdrant) to support enterprise semantic search and RAG workflows.
  • Leverage AI-assisted coding tools to rapidly generate, test, and optimize SQL/Python data transformation code, freeing up time for complex architectural decisions.
  • Orchestrate data workflows using Apache Airflow, Dagster, or n8n to ensure seamless, event-driven data delivery to AI agents and downstream analytics.
  • Implement data reliability engineering practices (data contracts, observability, lineage) to ensure LLMs are grounded in highly accurate, governed data.
  • Collaborate closely with Full Stack and AI/ML engineers to support multi-modal data ingestion from IoT devices, APIs, and enterprise systems.

Qualifications: 3 years of hands-on experience in Data Engineering, Data Analytics, or ML Engineering.
  • Bachelor degree in computer science or related field.
  • Strong proficiency in Python and advanced SQL.
  • Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery) and orchestration tools.
  • Familiarity with creating embedding pipelines and working with Vector Databases.
  • Proven experience or strong familiarity working alongside AI coding assistants to enhance productivity.
  • Understanding of modern lakehouse architectures and open table formats (Apache Iceberg, Delta Lake).
  • Excellent communication skills and the ability to adapt to the fast-paced convergence of data and AI.

Skills:
Snowflake,Apache