Senior Data Engineer (Databricks)
- Level
- Senior
Not stated in the posting: salary, work type, visa.
Open. First seen 2 October 2026.
About the role
Solvd's standard text
Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.
Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.
We are seeking a highly skilled and consultative Senior Data Engineer with Databricks expertise to join our team.
What you'll do
As a Data Engineer, you will provide technical leadership and guide customers to successful implementations of big data projects, ranging from architecture and design to data engineering to model deployment. You will lead clients through migrations and architect solutions from concept to production. You will provide structured mentorship for other team members and technical support for pre-sales efforts.
What you bring
- Experience leading design and end-to-end development of distributed Databricks-based solutions, including Lakehouse architectures, ETL pipelines, streaming and batch processing, and integration with client's cloud and on-premises enterprise systems.
- Hands-on experience in building big data pipelines.
- Hands-on programming experience in Python.
- Expert knowledge of SQL, Spark (or PySpark), including data ingestion from a variety of sources such as APIs, relational databases, etc.
- Hands-on experience using dbt within Databricks ecosystem.
- Solid understanding of data governance, security, and compliance.
- Hands-on experience with platform optimization: cluster configuration, partitioning strategies, caching, autoscaling, and job orchestration.
- Ability to clearly articulate core Databricks concepts and explain their practical applications.
- Bachelor's degree in computer science, Information Systems, Engineering, or equivalent work experience.
- Databricks Certification (highly desirable)
Nice-to-have
- Experience with DevOps using Terraform.
- Experience with design and deployment of scalable machine learning pipelines on Databricks using MLflow and Delta Lake.
- Experience with Azure, AWS or GCP Databricks deployment.
- Experience with Databricks deployments for government clients.
- Experience with development of interactive dashboards and reports using BI tools, such as Power BI.
- Programming experience with Scala.
Solvd's standard text
When you join Solvd, you'll…
- Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.
Ready to make an impact?
If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
Solvd is an equal opportunity employer.
What this role asks for
Particular to this role
Databricks · Delta Lake · MLflow · Power BI · Scala · dbt
Rare in Solvd's other 27 open postings.
Standard for data engineering roles
AWS · Azure · ETL · GCP · Python · SQL · Spark
Common in data engineering postings at any company.
59% of this description is written for the role. The rest is Solvd's standard text, folded away below.
Read against Solvd's other open postings on this site.
The team: Future Opportunities - Data
This role is one of 4 open in Future Opportunities - Data.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
AWS (4 of 4), Machine Learning (4 of 4), Python (4 of 4), Azure (3 of 4), GCP (3 of 4), Computer Vision (2 of 4), Deep Learning (2 of 4)
OTHER ROLES ON THIS TEAM
- Senior Data Scientist posted May 6
- Data Engineer posted Dec 1
- Senior Data Scientist posted Nov 10
From the team and dates on Solvd's own job board.
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