Senior Software Engineer

DescriptionKforce has a client that is seeking Senior Software Engineer in Boston, MA.Responsibilities:* Design and lead scalable enterprise data platform architecture using modern cloud and lakehouse technologies* Establish architectural standards for data engineering, data modeling, governance, integration, and platform development* Provide hands-on technical leadership through code reviews, troubleshooting, performance tuning, and solution design* Develop and optimize complex data pipelines and transformations using Python/PySpark and SQL* Define platform security, access controls, data governance, lineage, and compliance standards* Design CI/CD, source control, automated testing, and Infrastructure as Code practices for data platforms* Establish scalable approaches for compute, storage, workload management, resiliency, and cost optimization* Define enterprise standards for data quality, schema design, change data capture, and data lifecycle management* Design integrations between source systems, cloud services, analytics platforms, and downstream applications* Monitor and optimize platform performance, reliability, capacity, and operational efficiency* Partner with engineering, architecture, analytics, and business teams to translate requirements into technical solutions* Mentor data engineers and promote consistent engineering practices across teams* Evaluate emerging data and AI capabilities and recommend technologies that provide measurable business value* Maintain architecture documentation, technical standards, and knowledge-sharing practicesRequirements* 7+ years of experience in data engineering, data architecture, or platform engineering, including significant experience with Databricks* Current hands-on development experience with Python/PySpark and advanced SQL in production environments* Experience with Databricks technologies, including Delta Lake, Unity Catalog, workflows, SQL capabilities, and related platform services* Experience designing enterprise-scale data architectures and supporting data across multiple business domains* Experience with Infrastructure as Code, automated deployments, CI/CD pipelines, and modern DevOps practices* Proven experience with platform performance tuning, monitoring, capacity planning, and cost optimization* Experience integrating data platforms with APIs, databases, streaming technologies, and business intelligence solutions* Deep knowledge of modern lakehouse architecture, distributed data processing, data governance, and enterprise data platforms* Strong understanding of cloud architecture across Azure, AWS, or GCP, including storage, networking, security, and identity management* Strong knowledge of data modeling, data quality, lineage, change data capture, and integration patterns* Strong troubleshooting and root-cause analysis skills in complex production environments* Excellent communication skills with the ability to explain technical concepts to both technical and business stakeholders* Demonstrated technical leadership, mentoring, and ability to influence engineering standards across teams* Proven ability to develop, debug, review, and optimize complex data pipelines and transformationsJob TypeContractCompensation88 - $94