We re looking for a skilled Senior Data Engineer with strong experience in distributed systems, Python/Scala, and modern data engineering tools to help design and implement an end-to-end data architecture for a leading enterprise client. This role is part of a strategic initiative to enable robust analytics, BI, and operational workflows across both on-premise and cloud environments.
In this role, you ll work closely with both Blend s internal teams and client stakeholders to build and optimize data pipelines, support data modeling efforts, and ensure reliable data flows for analytics, reporting, and business decision-making.
This position is ideal for engineers with a strong data foundation who are looking to apply their skills in large-scale, modern data environments, while gaining exposure to advanced architectures and tooling.
You will:
Design and implement an end-to-end data solution architecture tailored to enterprise analytics and operational needs.
Build, maintain, and optimize data pipelines and transformations using Python, SQL, and Spark.
Manage large-scale data storage and processing with Iceberg, Hadoop, and HDFS.
Develop and maintain dbt models to ensure clean, reliable, and well-structured data.
Implement robust data ingestion processes, integrating with third-party APIs and on-premise systems.
Collaborate with cross-functional teams to align on business goals and technical requirements.
Contribute to documentation and continuously improve engineering and data quality processes.Qualifications
5+ years of experience in data engineering, including at least 1 year with on-premise systems.
Proficiency in Python for data workflows

Keyskills: Solution architecture Data modeling SCALA Data quality Distribution system Operations Analytics SQL Python Data architecture
BLEND360 is an award-winning, new breed Data Science Solutions Company focused on powering exceptional results to our Fortune 500/1000 clients and other organizations. We are a hyper growth company - born at the intersection of advanced analytics, data and technology. ...