Senior Databricks Engineer

⚡️ Architect / Senior Databricks Engineer (Databricks Certified)

We are looking for an experienced Architect / Senior Databricks Engineer to join a long-term, full-time project currently in the pre-sale stage.

This is a high-priority opportunity, and we are seeking a strong technical leader with proven expertise in Apache Spark and Databricks, capable of designing and implementing scalable big data solutions while effectively collaborating with technical teams and business stakeholders.

Requirements:

Extensive hands-on experience with Apache Spark

Proven experience working with Databricks across multiple large-scale projects

Databricks Certified Data Engineer Professional certification

Strong background in big data technologies, including Hadoop, NoSQL, MPP, OLTP, OLAP

7+ years of experience as a Software Engineer or Data Engineer, including:

Query tuning and performance optimization

Troubleshooting and debugging Spark or other big data solutions

Proficiency in Python, Scala, or Java programming

Practical experience designing and deploying solutions on cloud platforms (AWS, Azure, or GCP)

Familiarity with CI/CD tools, unit and integration testing, automation, orchestration, REST APIs, BI tools, and SQL interfaces (e.g., Jenkins)

Excellent communication and presentation skills, with the ability to engage strategic stakeholders and leadership

Experience in customer-facing roles, such as pre-sales, post-sales, technical architecture guidance, or consulting

Passion for continuous learning and ensuring customer success

Nice to Have:

Experience in Data Science / ML Engineering, including:

Model selection and lifecycle management

Hyper-parameter tuning

Model serving and deep learning

Working with tools such as MLFlow

Responsibilities:

Design, implement, and optimize data architecture and big data solutions

Lead the adoption and scaling of Databricks within the project

Collaborate with data engineers, data scientists, and business stakeholders to define technical strategies

Ensure performance, scalability, and reliability of data pipelines and analytics platforms

Provide technical leadership, mentoring, and guidance to team members

Engage with stakeholders and customers to gather requirements and deliver strategic solutions

Stay up-to-date with emerging trends and innovations in big data and Databricks technologies

Recruitment Process:

Recruiter interview

Technical interview

Client interview

Offer

Apply now and help shape this project from the very beginning! 🚀