Specialty Software Engineer 4 - Contingent

• Client is currently seeking a Lead Cloud Data Platform Engineer to apply deep technical skills to create data products, develop AIbased automation tools, and build a world-class cloud analytics capability for client's Cyber Security Data Ecosystem on a Hybrid cloud.
• The successful candidate will continually innovate and pioneer the use of new technologies, and drive adoption of these amongst a team of talented data engineers.
• Candidate will be an integral part of client's migration from client's on-premises systems to the Google Azure cloud.
• Candidate will be a vital member of an agile team helping to lead the design and handson implementation of modern data processing capabilities.
• This is a visible role that allows you to share your knowledge and skills with other developers and product teams in a collaborative environment.

• Implement and operationalize modern selfserve data capabilities on Google Cloud to ingest, transform, and distribute data for a variety of big data apps
• Enable secure data pipelines to ensure data protection in transit and at rest
• Automate data governance capabilities to ensure proper data observability throughout the data flows
• Leverage AI/Agentic frameworks to automate data management, governance, and data consumption capabilities
• Create repeatable processes to instantiate data processes that fuel analytics products and business decisions
• Work with principal engineers, product managers, and data engineers to roadmap, plan, and deliver key data capabilities based on priority
• Create the Future of Data: design and implement processes using the entire toolset within Google Cloud Platform to shape the future of data

• 5 plus years of experience in data engineering including handson experience working with Hadoop and Google Cloud data solutions: creating/supporting Spark based processing, Kafka streaming, in a highly collaborative team
• 3 plus years of experience with Data lakehouse architecture and design, including handson experience with Python, pySpark, Apache Kafka, Airflow, and SQL, GPC Cloud Storage, BigQuery, Data Proc, Cloud Composer
• 2 plus years working with NoSQL databases such as columnar databases, graph databases, document databases, KV stores, and associated data formats
• Public cloud certifications such as Google Cloud Platform Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics

• Proven skills with data migration from onprem to a cloud native environment
• Proven experience working with the Hadoop ecosystem capabilities such as Hive, HDFS, Parquet, Iceberg, and Delta Tables
• Deep understanding of data warehouse, data cloud architecture, building data pipelines, and orchestration
• Design and implementation of highly scalable and modular data pipelines with builtin data controls for automating data governance
• Familiarity of GenAI frameworks such as Langchain and Langraph to develop agentbased data capabilities
• Dev Ops and CI/CD deployments including Git, Jenkins, Docker, and Kubernetes
• Web based UI development using React and Node JS is a plus

• Consult on complex initiatives with broad impact and largescale planning for Specialty Software Engineering.
• Review and analyze complex multifaceted, larger scale, or longer-term Specialty Software Engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors.
• Contribute to the resolution of complex and multifaceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
• Strategically collaborate and consult with client personnel.

• 5 plus years of Specialty Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.

• Approved locations: AZ, Dallas, Charlotte, Philadelphia
• Are you looking for a chance to be part of a high performing team that is passionate about data?
• Does the thought of building a modern hybrid data platform from the ground up excite you?
• Client is looking for someone to join client's team to help enable solutions for the next generation of data analysis while working in a fast paced environment that fosters growth and development.
• If this sounds like you, we want to hear from you.

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by appliable state or localities where you reside or work.