pipelines (ETL/ELT) to ingest, transform, and deliver data from diverse sources. Required Skills & Experience: Deep expertise in building and deploying data solutions using platforms like Databricks (Azure/AWS), Microsoft Fabric, Azure Data Factory, and Azure Synapse. Solid experience with the Microsoft data stack—including SSIS, SSAS, and SSRS. A strong foundation … Spark, Kafka, or Snowflake. A comprehensive understanding of the data engineering lifecycle, including Agile delivery, DevOps, Git, APIs, containers, microservices, and pipeline orchestration. Nice to have: DP-203 Azure Data Engineering/Microsoft Certified: Fabric Analytics Engineer Associate The ideal candidate will be a self-motivated team player with a proven track record of delivering accurate, insightful solutions More ❯
are looking for a highly skilled Data Solution Architect with deep expertise in designing and implementing cloud-native data platforms. The ideal candidate will have strong experience across Azure and AWS, with the ability to create scalable, secure, and high-performing data architectures that meet complex business needs. You will play a key role in shaping data strategies … pre-sales, and ensuring data solutions align with modern best practices in cloud architecture and governance. Responsibilities: Design and architect robust, scalable, and cost-effective data platforms on Azure and AWS. Translate business requirements into end-to-end technical solutions, covering data ingestion, transformation, storage, analytics, and visualization. Present architectural options and proposals to clients and internal stakeholders … data goals. You’ll Have: Proven experience as a Solution Architect with a focus on data platforms and cloud data solutions. Hands-on experience designing data solutions on Azure (e.g., Azure Data Lake, Synapse, Data Factory) and AWS (e.g., Redshift, Glue, S3, Lambda). Strong background in data architecture, including data modeling, warehousing, real-time and More ❯
