Senior Solutions Architect, Databricks

Hiflylabs

Senior Solutions Architect shaping the future of big data for Fortune 500 companies. Leading architectural design and implementation for big data projects with technical expertise in Apache Spark.

Posted 5/21/2026full-timeRemote • New Jersey • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureCloudGoogle Cloud PlatformHadoopJavaJenkinsNoSQLPythonScalaSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.
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.

ATS Keywords

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Hard Skills & Tools

Apache SparkDatabricksHadoopNoSQLMPPOLTPOLAPPythonScalaJava

Soft Skills

communication skillspresentation skillscustomer-facing experiencetechnical leadershippassion for learningtroubleshootingdebuggingperformance tuningquery tuningconsulting

Certifications

Databricks Certified Data Engineer Professional