Senior Data Engineer

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. We are seeking a Senior Data Engineer to join our growing Data & Analytics practice. This is a client-facing, consultative role for someone who combines strong technical expertise with the ability to build trust, influence decisions, and help shape winning solutions. In this role, you will architect and deliver modern data platforms that power analytics, AI/ML, and business intelligence initiatives. You’ll work closely with client stakeholders, data scientists, and engineering teams to design scalable, secure, and high-performing data solutions across a variety of cloud and data technologies. What You’ll D oDesign and build scalable, end-to-end data pipelines across structured, semi-structured, and unstructured data source sSupport sales process for data-centric solution sImplement modern data architectures (e.g., lakehouse, data warehouse, data mesh) with strong data quality, governance, and security practice sDevelop 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 sImplement 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 integratio nPartner with client stakeholders to translate business needs into scalable technical solutions—and contribute to shaping solution strategy during engagement sContribute to DevOps best practices including CI/CD and infrastructure-as-code (e.g., Terraform )Mentor junior engineers and contribute to practice development and thought leadershi p What You Bri ng5+ years of experience in data engineering or modern data platform developme ntStrong experience designing and building scalable data solutions in a cloud environme ntExpertise in SQL, data modeling, and modern data architecture patterns, medallion architectu reExperience with at least one major cloud platform (Azure preferred; AWS or GCP acceptabl e)Hands-on experience with ETL/ELT frameworks and orchestration tools (Airflow, dbt, ADF, or simila r)Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or equivalent technologi esSolid understanding of DevOps practices for data, including CI/CD and infrastructure-as-co deStrong communication and interpersonal skills, with the ability to operate effectively in client-facing environmen tsAbility to balance hands-on development with solution design and technical leadersh ip Nice to H aveExperience with Databricks and/or Spark-based data process ingDatabricks certificati onsExperience with Snowfl akeSnowflake certificati onsExperience with Microsoft Fab ricMicrosoft certifications (e.g., Azure, Fabric-related certifications such as DP-6 00)Programming experience in Python or Sc alaExperience with enterprise data governance tools and framewo rksFamiliarity with vector databases and semantic search applicati onsExperience supporting AI/ML workflows and cloud-based ML servi cesCloud certifications (Azure, AWS, or G CP)Experience with BI tools such as Power BI, Tableau, or Loo #J-18808-Ljbffr RBA, Inc.