ZipRecruiter

Log In

1

Databricks Architect Jobs in Decatur, GA (NOW HIRING)

IntelliTrans

Data Architect

Atlanta, GA · On-site

$62.50 - $80.50/hr

The Data Architect will set standards, define direction, and architect scalable solutions--particularly around AWS, Databricks, AI, multi-tenant databases, data lakes, and real-time data streaming.

Deloitte

Sr Databricks Data Engineer

Atlanta, GA

$110K - $132K/yr

Lead, coach, and develop teams of data engineers and architects, fostering technical growth and ... As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and ...

United Airlines

Azure Databricks Engineer

Atlanta, GA · On-site

$93K - $128K/yr

... architecture Bronze Silver Gold layers Develop reusable Databricks notebooks and jobs for ... production data workflows Azure Cloud Integration Build and orchestrate pipelines using Azure Data ...

NAVA Software Solutions

Azure Data Architect

Atlanta, GA · On-site

$61 - $79.50/hr

Azure Data Architect Location: Atlanta GA - Hybrid / Remote also ok Duration: 6-12 months * 10+ ... Databricks * Experience with Big Data Technologies such as Spark, Hadoop, Kafka, and Storm

HRC Global Services

Data Architect - Georgia

Atlanta, GA · On-site

$150K - $170K/yr

... using: • Databricks • Snowflake • Amazon Redshift Leverage Apache Spark and big data ... architecture and data modeling Hands-on experience with Databricks, Snowflake, or Redshift ...

System One

Databricks Subject Matter Expert

Atlanta, GA · On-site

$53.50 - $71.75/hr

... architecture. . 5+ years of deep, hands-on experience with Databricks, including production deployments at enterprise scale. . Expert-level proficiency in Apache Spark (PySpark and/or Scala), Delta ...

APCO Holdings

Cloud Optimization Architect

Norcross, GA · On-site

$61 - $77.50/hr

Databricks Efficiency: Design and support Azure Databricks environments with a strict focus on cost-efficiency, implementing Auto-termination, Spot Instance policies, and Unity Catalog governance.

US Bank

Technology Architect

Atlanta, GA · On-site

Creates architectural principles to support business goals. Consults with business line managers ... and Databricks. * Familiarity with building AI-enabled applications using AWS services (e.g ...

APCO Holdings

Cloud Optimization Architect

Norcross, GA · Hybrid

$61 - $77.50/hr

Databricks Efficiency: Design and support Azure Databricks environments with a strict focus on cost-efficiency, implementing Auto-termination, Spot Instance policies, and Unity Catalog governance.

APCO Holdings

Cloud Optimization Architect

Norcross, GA · Hybrid

$61 - $77.50/hr

Databricks Efficiency: Design and support Azure Databricks environments with a strict focus on cost-efficiency, implementing Auto-termination, Spot Instance policies, and Unity Catalog governance.

Insight Global

Solutions Architect DA

Atlanta, GA

$60.50 - $79.75/hr

Your expertise with LLM enabling technologies such as Databricks and Python in a multi-cloud context effectively enables solution architecture. Join us in creating a dynamic, equitable, and ...

next page

Showing results 1-20

All JobsDatabricks Architect JobsDatabricks Architect Jobs in Decatur, GA

Databricks Architect information

What is the difference between Databricks Architect vs Data Engineer?

AspectDatabricks ArchitectData Engineer
Primary FocusDesigning and implementing data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, cloud platforms (AWS, Azure), SQLSQL, ETL tools, cloud platforms, programming (Python, Scala)
Work EnvironmentData platforms, cloud environments, collaboration with data teamsData pipelines, databases, cloud infrastructure, scripting

While both roles work with data and cloud platforms, a Databricks Architect primarily focuses on designing and implementing data solutions using Databricks, whereas a Data Engineer builds and maintains the data pipelines and infrastructure that support these solutions. The Architect often oversees the technical design, while the Engineer handles the day-to-day pipeline development.

What are the key skills and qualifications needed to thrive as a Databricks Architect, and why are they important?

To thrive as a Databricks Architect, you need strong expertise in big data engineering, cloud platforms (such as Azure or AWS), distributed computing, and proficiency in languages like Python or Scala, typically supported by a relevant degree and cloud certifications. Familiarity with Databricks Workspace, Apache Spark, Delta Lake, and CI/CD tools is crucial for designing and implementing scalable data solutions. Excellent problem-solving, communication, and project management skills set top performers apart by enabling effective collaboration and solution delivery. These competencies are essential for architecting reliable, high-performance data platforms that drive business insights and innovation.

What are some common challenges Databricks Architects face when designing large-scale data solutions?

Databricks Architects often encounter challenges such as optimizing cluster performance for cost and efficiency, ensuring data security and compliance across distributed environments, and integrating Databricks with legacy systems or diverse data sources. They must carefully design data pipelines and workflows to handle large volumes of data without bottlenecks, and also collaborate closely with data engineers, data scientists, and IT teams to align on best practices. Staying updated with evolving Databricks features and cloud platform updates is also essential for success in this dynamic role.

Are data architects in high demand?

Data architects, including those working with platforms like Databricks, are in high demand due to the increasing need for scalable data management and analytics solutions. Organizations seek professionals with expertise in data modeling, cloud environments, and tools like Spark and SQL to design and maintain complex data systems.

How much do Databricks architects make?

Databricks architects typically earn between $120,000 and $180,000 annually, depending on experience, location, and certifications. Senior roles with extensive expertise in cloud platforms and data engineering can command higher salaries, often exceeding $200,000.

What is a Databricks architect?

A Databricks architect is a professional responsible for designing, implementing, and managing data solutions using the Databricks platform. They typically have expertise in big data, cloud environments, and Spark, and work to optimize data workflows and analytics infrastructure.

Will AI replace Solution Architect?

A Databricks Architect, who designs and implements data solutions on the Databricks platform, is unlikely to be fully replaced by AI. While AI can automate certain tasks like data processing and code generation, Solution Architects require strategic planning, domain expertise, and client interaction that currently cannot be fully automated.
What are popular job titles related to Databricks Architect jobs in Decatur, GA? For Databricks Architect jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Databricks Architect jobs in Decatur, GA look for? The top searched job categories for Databricks Architect jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Databricks Architect jobs? Cities near Decatur, GA with the most Databricks Architect job openings:
Databricks Architect jobs near you
Infographic showing various Databricks Architect job openings in Decatur, GA as of June 2026, with employment types broken down into 80% Full Time, 14% Part Time, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Architect

Data Architect

IntelliTrans

Atlanta, GA • On-site

$62.50 - $80.50/hr

Full-time

Posted 26 days ago

Job description

IntelliTrans, (ITL), a subsidiary of Roper Technologies, Inc. (NYSE: ROP) is seeking a Data Architect to join our team hybrid in Atlanta, GA.

Job Summary:

The Data Architect will lead the strategic design and implementation of data architecture for IntelliTrans' Transportation Management Systems (TMS) platform and products. This senior role is responsible for the architecture, modeling, performance optimization, and governance of enterprise-scale data solutions that support multi-tenant SaaS operations serving global transportation and logistics customers. The Data Architect will collaborate with executive leadership, engineering teams, and business stakeholders to ensure our data infrastructure remains scalable, secure, performant, and aligned with business intelligence and operational requirements. This position requires deep technical expertise in data management combined with strategic thinking and strong leadership skills to guide the evolution of our data platform supporting mission-critical transportation operations worldwide. The Data Architect will set standards, define direction, and architect scalable solutions—particularly around AWS, Databricks, AI, multi-tenant databases, data lakes, and real-time data streaming.

Essential Duties and Responsibilities include the following. Other duties may be assigned.

  • Define and communicate the overall data architecture strategy and roadmap for IntelliTrans' TMS platform, ensuring alignment with business objectives and analytics requirements
  • Design and implement enterprise-scale data architectures for multi-tenant SaaS environments, including data warehousing, data lakes, and operational data stores
  • Establish and enforce data architecture standards, data modeling best practices, and data governance policies across all development teams
  • Lead the design of scalable data pipelines, ETL/ELT processes, and real-time data integration solutions to support transportation operations and business intelligence
  • Collaborate with C-level executives, product management, and business stakeholders to translate data requirements into comprehensive technical solutions
  • Oversee database design and optimization strategies for high-volume transactional systems and analytical workloads
  • Guide technology selection decisions for data platforms, analytics tools, and emerging data technologies including AI/ML frameworks
  • Lead data governance initiatives including data quality management, master data management, and metadata management programs
  • Ensure data security, privacy compliance, and adherence to industry standards including GDPR, CCPA, SOC 2, and transportation industry regulations
  • Design and implement data backup, recovery, and archival strategies for business-critical transportation data
  • Drive adoption of modern data engineering practices including artificial intelligence, relational and NoSQL, graph databases, data mesh architecture, streaming analytics, and cloud-native data platforms
  • Mentor & develop data engineers, database administrators, & analytics teams, fostering a culture of data excellence
  • Direct performance tuning, capacity planning, and optimization of database systems and data platforms, including for Oracle and PostgreSQL databases.
  • Represent IntelliTrans in technical forums and client discussions regarding data architecture and analytics capabilities
  • Develop and maintain data architecture documentation, data dictionaries, and conceptual/logical/physical data models, including ER diagrams, dimensional models, and multi-tenant schemas.
  • Lead technical due diligence for data-related acquisitions, partnerships, and technology investments
  • Enable near real-time delivery of data changes directly to customers for consumption within their own data lakes.
  • Architect and grow modern data lake and environments, ideally leveraging Databricks as the strategic platform
  • Collaborate with engineering teams and offshore resources to deliver scalable, reliable, and well-governed data systems.
  • Establish standards, best practices, and architectural patterns for enterprise data management.
  • Build or enhance data platforms that support AI/ML workloads, including data readiness, optimization, and pipelines feeding AI models.

QUALIFICATIONS AND BACKGROUND

EDUCATION:  Master's degree in Computer Science, Data Science, Information Systems, or related technical field

  • Industry certifications:
    • AWS Certified Data Analytics or Database Specialty
    • CDMP (Certified Data Management Professional)
    • Oracle Database certifications

 

EXPERIENCE:              

REQUIRED EXPERIENCE

  • Minimum of 10+ years of progressive experience in data management and architecture, with at least 5 years in senior data architecture leadership roles
  • Databricks experience (required) — strong working proficiency with at least 2-4 years strongly preferred.
  • Deep AWS data ecosystem experience, including design and hands-on engineering with structured, unstructured, relational, and NoSQL data.
  • Database expertise in Oracle and PostgreSQL including schema design, indexing, and performance tuning.
  • Proven track record of designing and implementing large-scale data architectures for multi-tenant SaaS platforms serving enterprise customers
  • Strong data modeling skills: ability to design optimal models and produce professional ER diagrams.
  • Near-expert experience optimizing databases for performance and scalability.
  • Strong understanding of multi-tenant architectures, including schema isolation and workload management.
  • Experience with both OLTP and OLAP systems, including modern data warehousing and ETL/ELT patterns.
  • Experience with CDC, data streaming, and queuing systems (e.g., Kafka, Kinesis, Pulsar).
  • Ability to architect data sharing solutions enabling customers to ingest data in their own data lakes.
  • Experience designing or supporting data pipelines optimized for AI/ML workloads, including feature engineering, vector storage, model-ready datasets, or integration with AI platforms (e.g., SageMaker, Databricks ML, or similar).
  • Comprehensive understanding of data governance and security:
    • Data Quality: Profiling, validation, monitoring frameworks
    • Data Governance: Lineage tracking, data catalogs, metadata management
    • Security: Encryption at rest/in transit, access controls, data masking, tokenization
  • Experience with business intelligence and analytics tools:
    • BI Platforms: Tableau, Power BI, Looker, or similar
    • Reporting: SQL-based reporting, embedded analytics
  • Understanding of DevOps practices for data platforms:
    • Version Control: Git for database schemas and data pipelines
    • CI/CD: Automated testing, deployment automation for data assets
    • Infrastructure as Code: Terraform, CloudFormation for data infrastructure

PREFERRED QUALIFICATIONS

  • Experience building data lakes that support AI or advanced analytics.
  • Experience designing data architectures that feed or support AI/ML models.
  • Previous ownership of enterprise data strategy or acting as the primary data expert within an organization.
  • Strong knowledge of cloud data platforms and services:
    • AWS: RDS, Redshift, Aurora, DMS, Glue, Lake Formation, Athena
    • Cloud Architecture: Multi-region replication, disaster recovery, data sovereignty
  • Experience with AI/ML data architectures and feature stores
  • Knowledge of AI-accelerated development and data analysis tools (Anthropic Claude Code, Microsoft Copilot)
  • Experience with data science platforms and MLOps:
    • SageMaker, Databricks, MLflow
    • Feature engineering and model serving infrastructure
  • Knowledge of API design for data services (RESTful, GraphQL)
  • Experience in Transportation, Logistics, or Supply Chain Management systems
  • Understanding of transportation industry data standards (EDI, API specifications)
  • Experience with geospatial data and mapping technologies

 

PERFORMANCE SKILLS /COMPETENCIES:

  • Exceptional strategic thinking and technology vision capabilities
  • Strong executive presence and ability to communicate complex technical concepts to non-technical stakeholders
  • Proven track record of building and leading high-performing technical teams
  • Experience managing technical budgets and resource allocation
  • Strong problem-solving skills with ability to balance technical excellence with business pragmatism
  • Excellent written and verbal communication skills, including presentation and documentation abilities
  • Ability to work effectively across global teams and different time zones
  • Strong analytical and decision-making capabilities under pressure
  • Polished written and verbal communication skills
  • Strong teamwork skills, including the ability to work with teams in different geographic regions.
  • Strong planning, scheduling, organization skills
  • Strong curiosity and drive to uncover root cause of incidents and find solutions.
  • Strong desire to develop deep industry knowledge and increase autonomy as product and industry knowledge increases, ultimately becoming a mentor to other employees.
  • Commitment to continuous learning and staying current with emerging technologies

IntelliTrans supports workforce diversity and is a committed equal opportunity. / Affirmative action employer.

Apply