Senior Software Engineer

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Kforce 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 practices

Requirements:

• 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 transformations