Overview
Remote
On Site
Full Time
Skills
Data Analysis
Leadership
Customer Engagement
Solution Architecture
IT Management
Migration
Optimization
Business Development
Sales
Thought Leadership
Knowledge Sharing
Mentorship
Innovation
Computer Science
Data Engineering
Analytics
Apache Spark
Unity
Data Lake
DevOps
Communication
Presentations
Amazon Web Services
Google Cloud
Google Cloud Platform
Artificial Intelligence
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Data Governance
Microsoft Azure
Cloud Computing
Databricks
Microsoft
Snow Flake Schema
Go-To-Market Strategy
Collaboration
Job Details
We're seeking a Senior Solutions Architect with deep expertise in Databricks and Microsoft Azure to help enterprise clients modernize their data, analytics, and AI environments.
This role combines technical depth, architectural leadership, and strategic client engagement-ideal for someone who enjoys blending technology innovation with business impact.
What You'll Do
Client & Partner Enablement
Solution Architecture & Technical Leadership
Business Growth & Strategy
Thought Leadership & Knowledge Sharing
Required Skills & Experience
Preferred Qualifications
Background working with or alongside major cloud or data platform vendors (Databricks, Microsoft, Snowflake, etc.). Familiarity with co-sell or go-to-market collaboration models.
This role combines technical depth, architectural leadership, and strategic client engagement-ideal for someone who enjoys blending technology innovation with business impact.
What You'll Do
Client & Partner Enablement
- Act as a trusted advisor to technical and business stakeholders on data and AI platform strategies.
- Build and maintain strong relationships across client and partner ecosystems, supporting account planning, co-selling, and joint solution initiatives.
- Represent the organization at technical summits, partner events, and industry conferences to elevate visibility and foster collaboration.
- Identify and pursue new opportunities that align Databricks and Azure capabilities with modernization goals.
- Work closely with internal sales and delivery teams to shape proposals, offerings, and go-to-market strategies.
Solution Architecture & Technical Leadership
- Lead the design of scalable, enterprise-grade Databricks and Azure data architectures covering ingestion, transformation, governance, and AI/ML enablement.
- Architect solutions using Databricks (Delta Lake, MLflow, Unity Catalog, Spark) and Azure (Synapse, Data Lake, Data Factory, DevOps).
- Define modernization and migration strategies tailored to client business objectives.
- Provide best-practice guidance on performance, cost optimization, data governance, and production-ready ML environments.
- Mentor delivery teams and ensure architectural consistency across projects.
Business Growth & Strategy
- Support business development by translating technical concepts into clear business outcomes.
- Develop pipelines of Databricks-related opportunities through collaboration with partner and sales teams.
- Contribute to pre-sales efforts, solution proposals, and executive briefings.
- Leverage partner programs and incentives to strengthen competitive positioning.
- Track success stories and client outcomes to highlight value delivered through data transformation.
Thought Leadership & Knowledge Sharing
- Represent Data & AI capabilities through webinars, whitepapers, and community events.
- Collaborate on reference architectures, accelerators, and best-practice frameworks.
- Stay current on trends in AI, MLOps, LLMs, and data governance to shape future solution offerings.
- Coach and mentor team members, fostering innovation and continuous learning.
Required Skills & Experience
- Bachelor's or Master's degree in Computer Science, Data Engineering, or related discipline.
- 7+ years in data engineering, analytics, or architecture, including 3+ years implementing or designing Databricks-based solutions.
- Expert-level knowledge of Databricks (Delta Lake, Apache Spark, MLflow, Unity Catalog) and Azure (Data Lake, Synapse, Data Factory, DevOps).
- Proven ability to translate business requirements into scalable data platform architectures.
- Excellent communication and presentation skills with the ability to influence executive stakeholders.
- Strong consulting mindset-balancing technical rigor with business value delivery.
Preferred Qualifications
- Practical experience with AWS or Google Cloud Platform Databricks environments.
- Understanding of AI/ML, MLOps, and modern data governance frameworks.
- Professional certifications such as:
- Databricks Certified Data Engineer / Solutions Architect
- Microsoft Azure Data Engineer or equivalent.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.