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Senior Databricks Developer Jobs (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Arlington, VA · On-site

$120.20K - $165.10K/yr

Share this job: Share: Share Sr Databricks Data Engineer with Facebook Share Sr Databricks Data Engineer with LinkedIn Share Sr Databricks Data Engineer with Twitter Caution against fraudulent job ...

SDH Systems

Sr Databricks Engineer

San Diego, CA

$110.90K - $152.40K/yr

Job Title: Sr Databricks Engineer Location: San Jose, CA (5 days on-site) Hybrid role: 4 days onsite per week in San Jose, CA Job Overview We are seeking an experienced Senior Data Engineer to join ...

Databricks

Sr. Product Manager, Databricks Repos

$129.50K - $170.90K/yr

The Sr. Product Manager for Databricks Repos will drive the vision and roadmap for the product, focusing on enhancing the developer experience and integrating with various Git providers.

SESHENG LLC

Databricks Developer

New Brunswick, NJ

Location - New Brunswick , NJ Duration: 6 Months+ Senior Data Engineer to lead the design, development, and optimization of data solutions on Azure Databricks * Lead the design and development of end ...

Databricks

Sr. Product Manager, Databricks Repos

Seattle, WA · Remote

$144K - $190K/yr

Founded by engineers - and customer obsessed - we leap at every opportunity to tackle technical ... Databricks Repos is the source control and workflow foundation that powers how data engineers, ML ...

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Senior Databricks Developer

SIRITECH SOLUTIONS CORP

New Brunswick, NJ • On-site

$56.25 - $74.25/hr

Full-time

Posted 3 days ago

Job description

Job Summary:
SIRITECH SOLUTIONS CORP is seeking an experienced Senior Databricks Developer to lead the design and development of enterprise-scale cloud data engineering solutions using Azure Databricks. The role involves creating scalable data pipelines, optimizing data workflows, and collaborating with various stakeholders to ensure data quality and governance standards are met.
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
• 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
Qualifications:
Required:
• 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
• Experience collaborating with business, analytics, and technical teams required
Preferred:
• Senior-level experience in cloud-based data engineering and Azure Databricks environments
• Experience supporting enterprise analytics and AI-driven workloads
• Strong cloud optimization and enterprise-scale data architecture experience
• Microsoft Azure certification
• Databricks certification
Company:
SiritechSolutions Corp (“Siritech”) is an IT professional services firm providing expertise to empower clients’ businesses. Founded in 2023, the company is headquartered in Tampa, Florida, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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