Data Engineer / Architect Databricks & dbt

We are looking for an experienced **Data Engineer / Architect** with strong hands-on expertise in **Databricks and dbt (Data Build Tool)** to support the implementation of enterprise data pipelines on a modern cloud-based data platform. - Define and implement appropriate usage of **dbt models, sources, tests, macros, snapshots, incremental models, packages, and documentation**.

Join a Global Leader in Workforce Solutions – Net2Source Inc.
Who We Are
Net2Source Inc. isn't just another staffing company, we're a powerhouse of innovation, connecting top talent with the right opportunities. Recognized for 300% growth in the past three years, we operate in 34 countries with a global team of 5,500+. Our mission? To bridge the talent gap with precision—Right Talent. Right Time. Right Place. Right Price.

Role Name: Data Engineer / Architect – Databricks & dbt
Work site: Harrisburg, US (Remote)
Duration: 12+ Months

**Role Overview**

We are looking for an experienced **Data Engineer / Architect** with strong hands-on expertise in **Databricks and dbt (Data Build Tool)** to support the implementation of enterprise data pipelines on a modern cloud-based data platform.

The role will be responsible for defining and implementing scalable data engineering patterns using Databricks and dbt, establishing development standards and reusable frameworks, and providing hands-on technical guidance to the data engineering team. The candidate will work closely with architecture, DevOps, Data Governance, and delivery teams to ensure solutions are scalable, maintainable, and aligned with enterprise standards.

**Key Responsibilities**

- Define the technical architecture and implementation patterns for **dbt-based data transformations on Databricks**.
- Design and develop scalable **curated and consumption-layer data pipelines** using Databricks and dbt.
- Establish dbt project structure, model organization, dependencies, naming conventions, coding standards, and reusable development patterns.
- Define and implement appropriate usage of **dbt models, sources, tests, macros, snapshots, incremental models, packages, and documentation**.
- Design efficient transformation patterns leveraging **Databricks, Delta Lake, Spark SQL, and PySpark**.
- Establish reusable and standardized pipeline development patterns for adoption across the engineering team.
- Work with architecture teams to ensure implementation aligns with enterprise architecture, governance, security, and data-platform standards.
- Provide hands-on development support and technical guidance to Data Engineers.
- Review existing data transformation and pipeline patterns and determine the appropriate implementation using Databricks and dbt.
- Define data quality, reconciliation, testing, logging, monitoring, and error-handling approaches.
- Design and implement appropriate **incremental data-processing strategies**.
- Support performance optimization and troubleshooting of dbt models and Databricks workloads.
- Work with DevOps teams to integrate dbt and Databricks development into the enterprise **CI/CD framework**.
- Support orchestration and scheduling integration with Databricks Workflows and enterprise scheduling platforms.
- Conduct technical design reviews and code reviews and ensure adherence to defined engineering standards.
- Support testing, deployment, production readiness, and troubleshooting activities.
- Develop reusable templates, frameworks, utilities, and implementation guidelines to accelerate development.
- Prepare technical documentation and provide knowledge transfer to engineering and support teams.
- Mentor Data Engineers and provide technical leadership throughout design, development, testing, and deployment.

**Required Skills & Experience**

- **8+ years of experience** in Data Engineering, Data Architecture, or related areas.
- Strong hands-on experience with **Databricks**.
- Strong hands-on experience implementing enterprise data solutions using **dbt**.
- Strong understanding of **dbt models, sources, macros, tests, snapshots, incremental models, packages, and documentation**.
- Strong programming and development skills in **SQL, Spark SQL, and PySpark**.
- Strong experience with **Delta Lake** and Databricks data-engineering capabilities.
- Experience designing and implementing **Medallion Architecture / multi-layered data platforms**.
- Strong understanding of logical and physical data modeling concepts.
- Experience building scalable, reusable, and metadata-driven data-engineering solutions.
- Experience implementing data-quality, validation, reconciliation, lineage, monitoring, and observability capabilities.
- Strong understanding of **CI/CD and DevOps practices for dbt and Databricks**.
- Experience with Git-based source control and automated deployment processes.
- Strong understanding of performance optimization and troubleshooting of large-scale data pipelines.
- Ability to translate architecture standards and business requirements into practical engineering solutions.
- Experience conducting technical design and code reviews.
- Ability to mentor and provide technical direction to Data Engineers.
- Strong analytical, problem-solving, communication, and stakeholder-management skills.

**Preferred Skills**

- Databricks certification.
- dbt certification or significant production implementation experience.
- Experience with **AWS-based Databricks environments**.
- Experience with enterprise data governance, metadata management, lineage, and data-product concepts.
- Experience with **Control-M or other enterprise workload scheduling/orchestration platforms**.
- Experience working on large-scale enterprise data-platform transformation programs.

Why Work With Us?
We believe in more than just jobs—we build careers. At Net2Source, we champion leadership at all levels, celebrate diverse perspectives, and empower you to make an impact. Think work-life balance, professional growth, and a collaborative culture where your ideas matter.
Our Commitment to Inclusion & Equity
Net2Source is an equal opportunity employer, dedicated to fostering a workplace where diverse talents and perspectives are valued. We make all employment decisions based on merit, ensuring a culture of respect, fairness, and opportunity for all, regardless of age, gender, ethnicity, disability, or other protected characteristics.
Awards & Recognition
• America's Most Honored Businesses (Top 10%)
• Fastest-Growing Staffing Firm by Staffing Industry Analysts
• INC 5000 List for Eight Consecutive Years
• Top 100 by Dallas Business Journal
• Spirit of Alliance Award by Agile1
Ready to Level Up Your Career?
Click Apply Now and let's make it happen.

Best regards,
Juan C. Matus 
Sr. Customer Success Manager