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Senior Databricks Solution Architect

MK Software Solutions IncUnited States🇺🇸United StatesPosted 17 Aug 2026

Why This Role Stands Out

Leverage your deep Databricks expertise as a Senior Solution Architect in this impactful, fully remote role, where you'll guide strategic data and AI initiatives for key clients and shape innovative Lakehouse architectures. This is an exceptional opportunity for experienced data professionals to advance their careers by mentoring teams and driving cutting-edge solutions within a flexible, long-term contract.

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Senior Databricks Solution Architect
100% Remote
Long Term Contract
Overview:
We are seeking an experienced and dedicated Senior Solutions Architect to lead technical engagements and provide strategic guidance for our strategic client accounts. This high-impact role requires deep expertise in the Databricks Platform, acting as the client's primary technical advisor for complex data, analytics, and AI initiatives. You will bridge business objectives with technical execution, designing and delivering scalable Lakehouse architectures while mentoring client teams and driving adoption of advanced Databricks capabilities.
Required Qualifications and Skills
Technical Expertise:
* 8+ years of experience in data engineering, big data architecture, or software engineering with a focus on data platforms.
* 5+ years of deep, hands-on experience designing, implementing, and optimizing solutions on the Databricks platform.
* Expert-level proficiency in Apache Spark ecosystem (PySpark, Spark SQL, Scala) and large-scale data processing.
* Strong experience with cloud infrastructure (AWS, Azure, Google Cloud Platform), including storage solutions (S3, ADLS), networking, and security models.
* Deep expertise in Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and best practices for ETL/ELT, data governance, and reliability.
* Proficiency in Python, Scala, advanced SQL, and modern DevOps practices including Docker, Kubernetes, and CI/CD.
Professional & Communication Skills:
* Exceptional client-facing and presentation skills, able to communicate complex concepts to both technical and C-level audiences.
* Proven leadership in client engagements, ability to drive consensus and influence decision-making across stakeholder groups.
* Strong problem-solving, analytical skills, and a proactive, consultative mindset.
Preferred Qualifications:
* Databricks Certified Professional or higher certifications.
* Relevant cloud certifications (e.g., AWS Certified Big Data, Azure Data Engineer, Google Professional Data Engineer).
* Experience with MLOps, generative AI, and advanced analytics on Databricks.
* Prior experience in senior consulting, solution architecture, or resident roles

Skills

Docker
SQL
Scala
AWS
ETL
MLOps
Apache
Apache Spark
Azure
Databricks
Generative AI
Google Cloud
Kubernetes
Python
Unity

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