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Senior Databricks Architect Jobs (NOW HIRING)

NTT DATA North America

Databricks Architect - Remote

$66.25 - $87/hr

They are seeking a Databricks Architect to develop strategic goals for data architecture, implement ... senior managers and technical staff in the development and implementation of databases and ...

Entarian

Senior Databricks Platform Engineer

Arlington, VA

$120K - $165K/yr

In-depth knowledge of Databricks architecture, including workspaces, clusters, storage, notebook ... Experience in a senior role, providing technical guidance and mentorship to junior team members.

Entarian

Senior Databricks Platform Engineer

Arlington, VA · On-site

$120K - $165K/yr

In-depth knowledge of Databricks architecture, including workspaces, clusters, storage, notebook ... Experience in a senior role, providing technical guidance and mentorship to junior team members.

eTeam

Senior Databricks Consultant

Collegeville, PA · On-site

Job Summary : eTeam is a consulting company seeking a Senior Databricks Consultant. The role ... with solution architects on data platform architecture • Implement data quality checks ...

Deloitte

Sr Databricks Data Engineer

Cincinnati, OH

$109K - $131K/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 ...

Deloitte

Sr Databricks Data Engineer

Boston, MA

$124K - $149K/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 ...

Deloitte

Sr Databricks Data Engineer

Morristown, NJ

$117K - $141K/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 ...

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Senior Databricks Architect information

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$74K

$123.9K

$191.5K

How much do senior databricks architect jobs pay per year?

As of Jun 8, 2026, the average yearly pay for senior databricks architect in the United States is $123,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $141,500.00 per year, depending on experience, location, and employer.

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

AspectSenior Databricks ArchitectData Engineer
Primary FocusDesigning and implementing scalable data solutions on Databricks platformBuilding, maintaining, and optimizing data pipelines and infrastructure
Skills & CertificationsDatabricks certifications, Spark, SQL, cloud platformsETL tools, SQL, Python, cloud services, data modeling
Work EnvironmentData architecture teams, cloud environments, enterprise settingsData engineering teams, cloud platforms, data warehouses

While both roles require cloud and data processing skills, the Senior Databricks Architect focuses on designing data solutions on Databricks, whereas Data Engineers build and maintain the data pipelines and infrastructure that support these solutions.

More about Senior Databricks Architect jobs
What cities are hiring for Senior Databricks Architect jobs? Cities with the most Senior Databricks Architect job openings:
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Senior Databricks Architect jobs near you
Infographic showing various Senior Databricks Architect job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 4% As Needed, 15% Full Time, 75% Part Time, 2% Temporary, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $123,935 per year, or $59.6 per hour.

Senior Databricks Developer

Siritech Solutions Corp

New Brunswick, NJ

$56.25 - $74.25/hr

Full-time

Posted 11 days ago

Job description

Job Description:Seeking an experienced Senior Databricks Developer to lead the design, development, optimization, and management of enterprise-scale cloud data engineering solutions using Azure Databricks and Azure data services. The ideal candidate should possess strong expertise in Azure Databricks, Azure Data Lake, ADLS Gen 2, ETL/ELT development, cloud-native data pipelines, and enterprise data architecture. This role requires leading end-to-end data engineering initiatives, building scalable pipelines for structured, semi-structured, API, and unstructured datasets, supporting analytics and AI workloads, and collaborating with business and technical stakeholders to deliver reliable, scalable, and cost-efficient data solutions. The candidate will also drive data governance, quality standards, performance tuning, metadata management, and continuous improvement across cloud data environments.


Key Responsibilities:

  • Lead the design, development, and implementation of end-to-end data pipelines on Azure using Azure Databricks, Azure Data Lake, and ADLS Gen 2
  • Develop scalable ETL/ELT pipelines supporting structured, semi-structured, API-based, and unstructured data sources
  • Collaborate with Data Scientists, Business Analysts, architects, and stakeholders to translate business requirements into scalable technical data solutions
  • Optimize data workflows for performance, scalability, reliability, and cost-efficiency within cloud environments
  • Establish, maintain, and enforce enterprise data quality, governance, validation, and compliance standards
  • Provide technical guidance for data modeling, schema design, metadata management, and analytics-ready data structures
  • Support enterprise analytics, reporting, AI, and machine learning workloads through optimized data engineering solutions
  • Monitor, troubleshoot, and resolve issues related to production data pipelines and cloud-based integrations
  • Recommend performance improvements and optimization strategies for enterprise data workflows
  • Evaluate emerging Azure and Databricks technologies and recommend enhancements to enterprise data architecture


Additional Responsibilities:

  • Support enterprise cloud modernization and analytics transformation initiatives
  • Participate in architectural discussions, technical reviews, and solution planning sessions
  • Collaborate with engineering and analytics teams to improve scalability and operational performance
  • Maintain technical documentation, standards, and best practices for enterprise data engineering initiatives
  • Support continuous improvement and innovation within Azure cloud and Databricks environments


Required Skills:

  • Strong expertise in Azure Databricks and enterprise data engineering
  • Experience designing and developing ETL/ELT pipelines for enterprise environments
  • Strong experience with Azure Data Lake and ADLS Gen 2
  • Experience working with structured, semi-structured, API-based, and unstructured datasets
  • Strong knowledge of data modeling, schema design, and metadata management
  • Experience with cloud performance optimization, monitoring, and troubleshooting
  • Strong understanding of data governance, validation, and data quality standards
  • Experience supporting analytics, AI, and machine learning workloads using cloud data platforms
  • Strong collaboration, analytical, and problem-solving skills


Qualifications:

  • Senior-level experience in cloud-based data engineering and Azure Databricks environments preferred
  • Experience collaborating with business, analytics, and technical teams required
  • Experience supporting enterprise analytics and AI-driven workloads preferred
  • Strong cloud optimization and enterprise-scale data architecture experience preferred


Certifications:

  • Microsoft Azure certification preferred
  • Databricks certification preferred