Solutions Consultant - Big Data

As a Solutions Consultant (Big Data) in our Professional Services team, you will collaborate with clients on short to medium term projects concerning their big data challenges using the Databricks platform. You will handle data engineering, data science, and cloud technology tasks which involve integrating with client systems, providing training, and executing technical tasks to assist clients in maximizing the value of their data. They are billable and are proficient in executing projects according to the specified instructions while delivering excellent customer service. The impact you will have: - You will be involved in various impactful customer technical projects which may comprise creating reference architectures, instructive guides and production grade MVPs. - You will guide strategic customers as they implement transformative big data projects and third-party migrations, including the comprehensive design, development, and deployment of industry-leading big data and AI applications. - Consult on architecture and design; bootstrap or carry out strategic customer projects leading to the customers' successful understanding, assessment, and adoption of Databricks. - Provide an escalated level of support for customer operational issues. - You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the assignment are delivered to meet customer's needs. - Collaborate with Engineering and Databricks Customer Support to provide product and implementation feedback and guide swift resolution for engagement specific product and support issues. What we look for: - 4+ years of experience with Big Data Technologies such as Spark, Kafka, Cloud Native, and Data Lakes in a customer-facing post-sales, technical architecture or consulting role. - 2+ years of experience working on Big Data Architecture. - Comfortable writing code in Python, Pyspark, Scala. - Experience working across Cloud Platforms (GCP / AWS / Azure). - Documentation and white-boarding skills. - Experience working with clients and managing conflicts. - Build skills in technical areas which support the deployment and integration of Databricks-based solutions to finalize customer projects. Benefits: - Group personal pension with company contribution. - Equity awards. - Paid parental leave. - Gym reimbursement. - Annual personal development fund. - Work headphones reimbursement. - Business travel accident insurance. About Databricks: Databricks is the data and AI company. Over 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics, and AI. Databricks is headquartered in San Francisco, with offices around the world. Founded by the original creators of Apache Spark™, Delta Lake, and MLflow, Databricks is on a mission to help data teams tackle the world’s harshest problems. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook. Our Commitment to Diversity and Inclusion: At Databricks, we are dedicated to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and comply with equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance: If access to export-controlled technology or source code is required for performance of job duties, it lies within the Employer's discretion whether to apply for a U.S. government license for such roles, and the Employer may decline to proceed with an applicant on this sole basis.