Senior Data Engineer: Cloud Platforms for AI & Analytics

RBA, Inc.; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

RBA seeks a Senior Data Engineer to design and deliver scalable data platforms powering analytics, AI/ML, and BI initiatives. You will collaborate with client stakeholders, data scientists, and engineering teams to translate business needs into robust data solutions across cloud environments.

This client-facing role emphasizes architecture, ETL/ELT development, data quality and governance, and mentorship of junior engineers, with opportunities to influence strategy and contribute to practice

Qualifications

• 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
• Ability to balance hands-on development with solution design and technical leadership

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 platform
• 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

Skills

Data engineering

Cloud data architecture

Communication skills

Leadership

ETL/ELT development

Tools

Databricks

Snowflake

Airflow

dbt

Terraform

Microsoft Fabric

Power BI

Job description

RBA seeks a Senior Data Engineer to design and deliver scalable data platforms powering analytics, AI/ML, and BI initiatives. You will collaborate with client stakeholders, data scientists, and engineering teams to translate business needs into robust data solutions across cloud environments.

This client-facing role emphasizes architecture, ETL/ELT development, data quality and governance, and mentorship of junior engineers, with opportunities to influence strategy and contribute to practice