Senior Data Engineer

About the role

RBA is a trusted consulting partner helping enterprise and mid-sized organizations transform their businesses through modern technology solutions. We blend strategic thinking with deep technical expertise to deliver scalable, high-impact outcomes aligned to our clients’ goals. Our team partners with some of the most recognized companies in our market, while fostering a culture that values collaboration, growth, and meaningful work.

Responsibilities

• Design and build scalable, end-to-end data pipelines across structured, semi-structured, and unstructured data sources
• Support sales process for data-centric solutions
• Implement modern data architectures (e.g., lakehouse, data warehouse, data mesh) with strong data quality, governance, and security practices
• Develop and optimize ETL/ELT pipelines using modern data platforms (e.g., Databricks, Snowflake, Microsoft Fabric, or similar)
• Tune and optimize workloads for performance and cost efficiency across cloud-based data platforms
• Implement real-time and streaming data solutions (Kafka, Kinesis, Event Hubs, or similar)
• Enable AI/ML use cases by building data pipelines for feature engineering and model integration
• Partner with client stakeholders to translate business needs into scalable technical solutions—and contribute to shaping solution strategy during engagements
• Contribute to DevOps best practices including CI/CD and infrastructure-as-code (e.g., Terraform)
• Mentor junior engineers and contribute to practice development and thought leadership

Requirements

• 5+ years of experience in data engineering or modern data platform development
• Strong experience designing and building scalable data solutions in a cloud environment
• Expertise in SQL, data modeling, and modern data architecture patterns, medallion architecture
• Experience with at least one major cloud platform (Azure preferred; AWS or GCP acceptable)
• Hands-on experience with ETL/ELT frameworks and orchestration tools (Airflow, dbt, ADF, or similar)
• Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or equivalent technologies
• Solid understanding of DevOps practices for data, including CI/CD and infrastructure-as-code
• Strong communication and interpersonal skills, with the ability to operate effectively in client-facing environments
• Able to balance hands-on development with solution design and technical leadership

Qualifications

• Programming experience in Python or Scala
• Experience with enterprise data governance tools and frameworks
• Familiarity with vector databases and semantic search applications
• Experience supporting AI/ML workflows and cloud-based ML services
• Cloud certifications (Azure, AWS, or GCP)
• Experience with BI tools such as Power BI, Tableau, or Looker

Skills

• Experience with Databricks and/or Spark-based data processing
• Databricks certifications
• Experience with Snowflake
• Snowflake certifications
• Experience with Microsoft Fabric
• Microsoft certifications (e.g., Azure, Fabric-related certifications such as DP-600)

Benefits

• Flexible working hours
• Competitive salary and benefits package
• Professional development opportunities
• Collaborative and supportive work environment

Pay

• $120,000 - $150,000 annually

Schedule

• Full-time