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Hiflylabs

We create business value in a world full of data.

Databricks Senior Solutions Architect

Solutions EngineerSolutions EngineerFull TimeRemoteSeniorTeam 51-200Since 2013H1B No SponsorCompany SiteLinkedIn

Location

USA Timezones + 1 moreAll locations: USA Timezones | European timezones

Posted

5 days ago

Salary

0

Seniority

Senior

Job Description

Databricks Senior Solutions Architect

Hiflylabs

Role Description As a Senior Solutions Architect, you will play a pivotal role in shaping the future of big data for top Fortune 500 companies. This senior customer-facing position requires extensive expertise in Apache Spark and a broad range of experience in big data solution architecture. - Assist customers with architecture, design, and implementation, ensuring their technical roadmap aligns strategically with the expansion of the Databricks platform. - Continuously enhance your technical skills through mentorship, ongoing learning, and internal training programs. - This is a remote role (with possible rare exceptions) and requires significant time zone overlap with clients. Main Tasks - Provide technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment. - Identify and drive new initiatives that help customers turn their data into actionable business value, aligning these initiatives with their business goals for continued success. - Architect production-level workloads, including performance testing and optimization of end-to-end pipeline loads. - Deliver tutorials and training sessions to promote community adoption (including hackathons, conference presentations, etc.). Qualifications - Hands-on and technical expertise with Apache Spark. - Hands-on experience with Databricks over the course of several large-scale projects. - Databricks Certified Data Engineer Professional certification. - Proven experience in designing and implementing big data technologies, including Hadoop, NoSQL, MPP, OLTP, OLAP. - Over 5 years of experience working as a Software Engineer or Data Engineer, including query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions. - Proficiency in programming with Python, Scala, or Java. - Experience designing and using solutions on cloud infrastructure and services, such as AWS, Azure, or GCP. - Familiarity with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools, and SQL Interfaces (e.g., Jenkins). - Excellent communication skills and comfort in presenting to strategic stakeholders and leadership. - Experience in customer-facing roles such as pre-sales, post-sales, technical architecture guidance, or consulting. - Passion for learning new technologies and ensuring customer success. - Desired experience in Data Science/ML Engineering, including model selection, model lifecycle, hyper-parameter tuning, model serving, deep learning, using tools like MLFlow. Benefits - Diverse projects - In each assignment, there is always something new, either on the technical or the business side, that helps you grow. - Empowerment - Trust is a cornerstone of our culture. We'll hold your hand if you need it, but give you space if you’d like to push your limits. - Flexible ways of working - We respect our people to do their work when and how they work best. - Balanced life - We highly value fresh minds, for which we think a healthy work/life balance is essential! - Mentoring from your first day - Continuous support is not just a set of fancy words; your mentor follows you throughout your career path. - Learning & Development opportunities - We look forward to helping you unlock your potential. - Supportive corporate culture - We are proud of the social cohesion that is based on comradery, mutual support, and respect.

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