Databricks Solutions Architect (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Databricks Solutions Architect in the United States.

This role offers the opportunity to lead the design and implementation of scalable, high-performance data solutions leveraging Databricks across cloud environments. You will work closely with clients to understand business drivers, translate requirements into optimized architectures, and guide adoption of data, AI, and machine learning technologies. This position blends technical leadership with hands-on execution, including solution design, performance optimization, and mentorship. The ideal candidate thrives in client-facing engagements, supports pre-sales initiatives, and helps shape both internal and external strategies for delivering impactful data solutions. You will collaborate across engineering, product, and sales teams to ensure successful outcomes and long-term value for clients.

Accountabilities:

·        Develop and implement data architecture solutions and reference architectures using Databricks.

·        Engage directly with clients to understand business goals and technical needs, ensuring optimal platform adoption.

·        Support pre-sales activities, including workshops, proof-of-concepts (POCs), and technical presentations.

·        Lead complex projects integrating Databricks with cloud platforms such as AWS, Azure, or GCP.

·        Optimize large-scale data processing, streaming, and machine learning workflows for performance and scalability.

·        Provide guidance and mentorship to clients and internal teams on data engineering, AI, and ML best practices.

·        Collaborate with cross-functional teams to deliver successful implementations and contribute to market strategy.

·        Help define Go-To-Market strategies and identify opportunities for innovation and business growth.

·        10+ years of experience in data engineering, data architecture, or related fields with hands-on experience using Databricks.

·        Strong proficiency with cloud platforms (AWS, Azure, GCP) and cloud-native technologies.

·        Expertise in Python, Scala, and SQL for large-scale data processing.

·        Experience designing and implementing data pipelines, ETL processes, data lakes, and associated DevOps and security practices.

·        Familiarity with machine learning workflows and libraries such as TensorFlow, PyTorch, or scikit-learn.

·        Experience with big data tools, including Apache Spark, Hadoop, and Delta Lake.

·        Excellent communication and interpersonal skills to engage with technical and non-technical stakeholders.

·        Preferred: Databricks or cloud certifications, knowledge of data governance, and experience creating market-facing content.

·        Key competencies: problem-solving mindset, strategic thinking, strong customer-facing skills, ability to work independently and collaboratively, and comfort engaging with C-level stakeholders.