Databricks Senior Solutions Architect_ US-Based Contractor

Hiflylabs

New Jersey

On-site

USD 140,000 - 180,000

Full time

14 days+

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Job summary

Hiflylabs in Budapest, a 250+ employee tech company, delivers data warehouses, BI and analytics solutions worldwide. We seek a senior data/ Software Engineer to provide post-sales technical leadership for large-scale data projects, guiding architecture from design to deployment.

You will architect production workloads, optimize end-to-end pipelines, and help customers turn data into actionable business value while mentoring teams and sharing knowledge across global stakeholders.

Qualifications

  • 5+ years as Software or Data Engineer with Spark workloads.
  • Proficiency in Python, Scala, or Java.
  • Experience with cloud platforms AWS/Azure/GCP.
  • Databricks Certified Data Engineer Professional desirable.
  • Experience with big data architectures: Hadoop, NoSQL, OLTP/OLAP.

Responsibilities

  • Provide technical leadership post-sales for big data projects.
  • Architect production-level workloads and optimize end-to-end pipelines.
  • Identify initiatives to turn data into business value.
  • Deliver tutorials and training to promote community adoption.

Skills

Spark
Databricks
Python
Java
Scala
Cloud (AWS/Azure/GCP)
SQL
CI/CD
Jenkins
Big data
Hadoop
NoSQL
MPP/OLAP/OLTP

Tools

Jenkins

Job 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.

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.).
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.
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.
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