Job description
Mission:
We are looking for accomplished professionals with a history of driving data-driven
transformations in large enterprises. As a Solution Architect for Databricks, you will
collaborate closely with Enterprise Account Executives (AEs) to define and implement the
technical vision for our most strategic accounts. Your focus will be to expand the adoption of
Databricks’ platform and deepen the integration of machine learning (ML) and artificial
intelligence (AI) solutions within our customers’ ecosystems.
This role demands a blend of technical expertise, strategic account management, and value-
driven solutioning. You will demonstrate Databricks’ capabilities, develop proofs of concept,
and provide expert guidance on applying ML and AI to diverse use cases in industries like
high-tech and manufacturing.
Key Responsibilities:
Act as the primary technical advisor for large, strategic client accounts, guiding their
adoption of Databricks solutions.
Lead customers through their data transformation journey, helping evaluate and
embed Databricks into their strategic initiatives.
Design and execute account-specific technical strategies, ensuring alignment with
client objectives.
Foster relationships with client stakeholders and build a network of technical
champions to advocate for Databricks within the organization.
Partner with internal teams to align Databricks offerings with client needs, driving
impactful outcomes.
Provide mentorship and technical guidance to peers and junior team members,
promoting a culture of innovation and excellence.
Qualifications and Experience:
Experience: 15+ years in technical architecture or consulting roles, with significant
experience managing large, global accounts (>$1M ARR).
Big Data Engineering: Expertise with tools and technologies like Apache Spark,
Hadoop, and Kafka.
Data Warehousing & ETL: Strong knowledge of SQL, OLTP/OLAP systems, and data
pipeline architectures.
Data Science & Machine Learning: Hands-on experience with tools such as pandas,
scikit-learn, and techniques like hyperparameter optimization (HPO).
Data Applications Expertise: Proficiency in building solutions for use cases like logs
analysis, threat detection, real-time monitoring, and risk analysis.
Proven ability to translate complex business requirements into scalable technical
solutions, driving stakeholder alignment at all levels.
Development Skills: Proficiency in languages like Python, Scala, Java, or R, with
experience in debugging and software development.
Cloud Expertise: Demonstrated experience with cloud platforms such as AWS,
Azure, or Google Cloud Platform (GCP).
Education: Bachelor’s or master’s degree in computer science, Applied Mathematics,
Operations Research, or a related field.
Preferred Skills:
Certification: Databricks certification is highly desirable.
Soft Skills: Strong communication, problem-solving, and client-facing skills to build
trust and deliver results effectively.
Outcomes:
Define and implement technical strategies for strategic accounts, ensuring successful
deployment and adoption of Databricks solutions.
Cultivate lasting relationships with client stakeholders and foster a network of internal
advocates for Databricks’ platform.
Deliver scalable, innovative data architectures and AI/ML solutions that address
customer challenges.
Mentor team members to strengthen technical capabilities and encourage
collaboration across the organization.
Join us to lead transformational change and help organizations unlock the full potential of
their data with Databricks’ cutting-edge technology. Together, let’s build the future of data-
Cloudaction is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity and expression, national origin, age, marital status, disability, veteran status, genetic information or any other basis protected under applicable discrimination law.
