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Databricks Senior Solutions Architect - Benelux + Nordics-Based | Contractor

Hiflylabs

Amsterdam
Contractor
5-10 years experience
Remote OK

Key Skills

Apache Spark
Databricks
Big data architecture
Python
Scala
Java
Cloud infrastructure
AWS
Azure
GCP
CI/CD
Data engineering
Performance tuning
SQL
REST API
Data modeling

Job Description

Company Description

Hiflylabs is a Budapest-based company. We have 250+ employees at this moment and we are constantly thriving. Our application development team and business intelligence experts work to provide effective solutions to business problems.

Our professional team has proved its expertise through 10 years of experience, participating in multiple Business Intelligence projects - both Hungarian and international - in various industries, such as the financial, telecommunication and energy sectors.

We deliver a wide portfolio of innovative business solutions that include Data Warehouses, Business Intelligence, Data Analytics. In the last few years we have acquired a high level of competence in Application Development.

Hiflylabs is committed to innovation, and encourages the realization of innovative initiatives in the form of independent startups.

Get an insight on how we work and check out our Website, LinkedIn page and YouTube channel!

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
  • Core Responsibilities

    You will provide technical leadership to guide strategic customers in designing and implementing big data projects from architecture to deployment. Additionally, you will identify new initiatives to turn customer data into actionable business value while delivering tutorials and training to promote platform adoption.

    Requirements

    Candidates must have over 5 years of experience as a Software or Data Engineer with hands-on expertise in Apache Spark and Databricks. A Databricks Certified Data Engineer Professional certification and proficiency in Python, Scala, or Java are required.

    Benefits

    • Mentoring
    • Learning and development opportunities
    • Flexible ways of working
    • Supportive corporate culture

    About Hiflylabs

    Industry: IT Services and IT Consulting

    Company size: 201-500 employees

    We are Hifly—a lab of high-flyers turning data and AI into competitive advantage. What started as a small data mining company in 2015 grew into a team of 250+ experts with offices in the US, UK, Austria, and Hungary. We've delivered 600+ projects across three continents and we're among the FT1000 fastest-growing companies in Europe. Our focus? Putting people first and making them fly. Clients and colleagues alike. We make data, AI, and digital products work. Enterprises partner with us to turn data into decisions, AI into ROI, and pilots into production. We serve clients like Accenture, Continental, Bosch, Levi's, T-Mobile, General Electric, DB Schenker, ExxonMobil, Mercedes-Benz, Vodafone, and more. See their success stories: https://hiflylabs.com/case-study Why partners choose us: We bring AI and data expertise from before the hype with a vendor-agnostic, hands-on approach. PoC-to-production in weeks, not months. Reusable frameworks for faster scaling. Knowledge transfer in every engagement. As Cirkul's VP put it: our data engineers are "some of the best in the past decade." What makes us different: We're one of the few companies globally with 3 Databricks MVPs and a seat on Databricks' Product Advisory Board. As early adopters of Databricks Apps, we bring unique production-proven expertise. Our team holds 100+ certifications and we're a Select Partner for Databricks, AWS, and Snowflake. Our expertise: Data science | Agentic AI integration | Automation | Data engineering | Cloud migration | Digital product development through Appic by Hiflylabs Our people are our strength. We grow through mentoring, knowledge-sharing, and a culture where honest feedback matters. Visit hiflylabs.com or let's talk: https://hiflylabs.com/contact

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