Become Part of A Unique Global Team

At Alfa Xprienz, we leverage technologies to drive innovation and enable businesses to transition into digitally mature organizations. We will help you start small, start simple and scale fast. We do this by building and running on the world's best data and AI infrastructure platforms, so our customers can benefit on solving challenges that are hindering their organizational mission.

Our driving force at Alfa Xprienz is that we grow and innovate heavily in areas that improve productivity and operational efficiencies in order to ensure that we collaboratively continuously deliver the highest quality products to your customers.

Become part of a uniquely Global Team with innovation at the forefront leveraging technology in driving amazing experiences. We are looking forward to you joining our amazing team in any of our professional and expert roles. We have an amazing culture of growing and learning together, whilst we create exciting solutions to problems of businesses, organizations, governments and individuals.

The Role Requires You To:

Guide customers through architecture, design, and implementation while strategically aligning their technical roadmap for expanding the usage of the Alfa Xprienz solutions. As part of the solutions engineers team, you will continue to strengthen your technical expertise through mentorship, continuous learning, and internal training programs

What you are responsible for

• Provide technical leadership in a post-sales capacity to guide strategic customers as they design and implement big data projects, ranging from architectural design to data engineering to model deployment
• Identify and drive new initiatives that enable customers to turn their data into actionable business value and align these initiatives with their business outcomes for continued success
• Architect production level workloads, including end to end pipeline load performance testing and optimization
• Deliver tutorials and trainings to drive community adoption (including hackathons, conference presentations, etc.)
• Work closely with Engineering and Product Management to drive the direction of the Databricks product
  

What We Require:

• Hands-on and superior technical experience with Apache Spark
• Proven experience of design and implementation experience in big data technologies including Hadoop, NoSQL, MPP, OLTP, OLAP
• 5+ years experience working as either:
• Software Engineer/Data Engineer: query tuning, performance tuning, troubleshooting, and debugging Spark and/or other big data solutions.
• Data Scientist/ML Engineer: model selection, model lifecycle, hyperparameter tuning, model serving, deep learning, etc.
• Comfortable programming in Python, Scala or Java
• Experience using and designing solutions on cloud infrastructure and services, such as AWS, Azure, or GCP
• Experience with Development Tools for CI/CD, Unit and Integration testing, Automation and Orchestration, REST API, BI tools and SQL Interfaces. E.g. Jenkins
• Proven experience with ML concepts covering Model Tracking, Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark, using tools like MLflow
• Excellent communication skills and comfortable presenting to strategic stakeholders/leadership
• Experience in customer-facing pre-sales, post-sales, technical architecture guidance, or consulting
• Passionate about learning new technologies and making customers successful
  

Benefits

• Health insurance reimbursement and collective healthcare scheme
• Life, accident and disability coverage
• Company Pension
• Paid parental leave
• Annual vacation bonus

We Are Commited to Diversity and Inclusion

At Alfa Xprienz, we are committed to fostering a diverse and inclusive culture where everyone can excell and grow. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Alfa Xprienz 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.