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Solvd, Inc.

Senior Data Engineer (Databricks)

Posted 12 Days Ago
Remote
6 Locations
Senior level
Remote
6 Locations
Senior level
Lead design and delivery of Databricks-based Lakehouse solutions and end-to-end data engineering projects. Build and optimize ETL, streaming and batch pipelines, integrate cloud and on-prem systems, mentor team members, support pre-sales, and ensure governance, security, and platform performance.
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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.

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.

Top Skills

Databricks,Python,Sql,Spark,Pyspark,Dbt,Mlflow,Delta Lake,Terraform,Azure,Aws,Gcp,Power Bi,Scala

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