Databricks Senior Solutions Architect _ Brazil at Hiflylabs

Blumenau, Santa Catarina, Brazil -

Full Time

Start Date

Immediate

Expiry Date

19 May, 26

Salary

0.0

Posted On

18 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Apache Spark, Databricks, Big Data Solution Architecture, Data Engineering, Model Deployment, Performance Testing, Optimization, Python, Scala, Java, AWS, Azure, GCP, CI/CD, REST API, SQL Interfaces

Industry

IT Services and IT Consulting

Description

Company Description We're Hiflylabs, a vibrant team of 250+ data and tech enthusiasts based in Budapest, Hungary and also build a Hub in Brasil. From data engineering to data science, artificial intelligence and application development, we work on a wide range of projects around the world. Over a Decade of Mastery: For twelve years, Hiflyers have been reshaping industries through Data Warehousing, Business Intelligence, and Data Analytics. From consulting to operations, we offer tailored, hands-on solutions to complex business problems, helping our clients grow. Our Commitment: At Hiflylabs, we're not just about projects; we're about people. We believe that our people are our most valuable assets, and we are committed to nurturing their personal and professional development through our unique mentoring system. Check out our Website, LinkedIn page and YouTube channel to get an insight into who we are and how we work! Job Description About the Job/What will you do? 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. Each week, you will assist customers with architecture, design, and implementation, ensuring their technical roadmap aligns strategically with the expansion of the Databricks platform. As a member of the architect team, you will continuously enhance your technical skills through mentorship, ongoing learning, and internal training programs. This is a remote role (with possible rare exceptions to be agreed upon in due time) and requires the applicant to have a significant time zone overlap with the 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 Requirements 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. Additional Information Why us? 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. Don't lose sight of the goal, the rest is up to you. Flexible ways of working – We love our location on Bartók Béla RoadStreet which is not only an office but also a community space. However, we respect our people to do their work when and how they work best. Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time, we highly value fresh minds, for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration. Mentoring from your first day – Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path. Learning & Development opportunities - If you want to keep learning and improving, we are on to a great track! We look forward to helping you unlock your potential. Supportive corporate culture - In addition to our professional success, we are proud of the social cohesion that is based on comradery, mutual support, and respect and is constantly nurtured in the company. Tag: DATABRICKS

Responsibilities

The Senior Solutions Architect will provide technical leadership post-sales to guide strategic customers in designing and implementing big data projects, covering everything from architectural design to data engineering and model deployment. Key tasks include identifying initiatives to drive business value from data and architecting production-level workloads with performance tuning.