Sr. Databricks Platform Engineer [Platform Admin] #26-27137

US Tech Solutions; Dallas (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

US Tech Solutions is seeking a Sr. Databricks Platform Engineer to lead the design and implementation of scalable, enterprise-grade data platforms using Databricks and cloud services.

The role combines deep data engineering, cloud architecture, and strong stakeholder engagement within an Agile environment, delivering robust ingestion, transformation, storage, and analytics. Contract to hire with potential long-term opportunities; Databricks certification and cloud architecture credentials are

Qualifications

• Databricks expertise with clusters, notebooks, Delta Lake, MLflow, Unity Catalog.
• Experience with at least one cloud provider (AWS, Azure, GCP).
• Strong Spark, Python, SQL data engineering skills.
• Ability to design large-scale data ingestion, transformation, storage and analytics.
• Experience with streaming (Structured Streaming, Kafka, Kinesis, EventHub).
• CI/CD practices for data pipelines (Azure DevOps, GitHub Actions, Jenkins).

Responsibilities

• Lead design and implementation of scalable, enterprise-grade data platforms.
• Engage stakeholders and translate needs into architectural solutions.

Skills

Databricks

Cloud platforms

Data engineering

Architecture

Streaming

DevOps

Tools

Databricks

Tableau

Power BI

Looker

Job description

6 months (Contract to hire)

Role Summary

We are looking for a highly skilled Sr. Databricks Platform Engineer [Platform Admin] to lead the design and implementation of scalable, enterprise-grade data platforms using Databricks. The ideal candidate will combine strong technical expertise in data engineering and cloud platforms (AWS/Azure/GCP) with architectural leadership, solution design capability, and strong stakeholder engagement skills.

Required Skills & Experience

Technical Skills

• Databricks Expertise: Strong hands-on experience with Databricks (clusters, notebooks, Delta Lake, MLflow, Unity Catalog).
• Cloud Platforms: Experience with at least one cloud provider (AWS, Azure, GCP).
• Data Engineering: Strong proficiency in Spark, Python, SQL, and distributed data processing.
• Architecture: Experience designing large-scale data solutions including ingestion, transformation, storage, and analytics.
• Streaming: Experience with streaming technologies (Structured Streaming, Kafka, Kinesis, EventHub).
• DevOps: CI/CD practices for data pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.).

Soft Skills

• Strong communication skills with the ability to engage both technical and business teams.
• Experience working in Agile environments.
• Ability to simplify complex technical concepts for non-technical audiences.
• Strong analytical, problem-solving, and decision-making abilities.

Preferred Qualifications

• Databricks Certified Data Engineer Professional / Architect certification.
• AWS/Azure/GCP cloud architect certifications.
• Experience with BI tools (Tableau, Power BI, Looker).
• Experience in machine learning workflows and ML operations.
• Background in large-scale data modernization or cloud migration projects.

Why Join Us?

Opportunity to lead high-impact data initiatives using cutting-edge Databricks capabilities.

Work with a highly skilled team of engineers, architects, and analytics professionals.

Professional growth opportunities including certifications and advanced architecture training.

Collaborative environment that values innovation and continuous improvement.

US Tech Solutions, a global staff augmentation firm providing a wide-range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit our website at www.ustechsolutions.com

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

By applying, you acknowledge that AI-assisted tools may be used during hiring.