Lead Cloud Data Platform Engineer

Experis
Phoenix, AZ, United States
25 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Streaming Apache Flink Data Analytics Apache Kafka Spark Streaming

Job description

Our client, a leading organization in the cybersecurity and data solutions industry, is seeking a Lead Cloud Data Platform Engineer to join their team. As a Lead Cloud Data Platform Engineer, you will be part of the Cyber Security Data Ecosystem supporting innovative data engineering and cloud analytics initiatives. The ideal candidate will demonstrate strong technical expertise, collaborative spirit, and a passion for pioneering new technologies, which will align successfully in the organization., * Design, develop, and operationalize modern AI-enabled data capabilities on Google Cloud platform.

  • Create and support data ingestion, transformation, and distribution processes for large-scale data applications.
  • Leverage AI and agentic frameworks to automate data management, governance, and consumption capabilities.
  • Collaborate with cross-functional teams including principal engineers, product managers, and data engineers to roadmap and deliver key data solutions.
  • Drive innovation by exploring and implementing new cloud and data technologies to enhance the cybersecurity data ecosystem., * Opportunity to work on cutting-edge cloud and AI technologies within a dynamic team.
  • Engagement in impactful projects that enhance cybersecurity and data analytics capabilities.
  • Collaborative work environment fostering innovation and continuous learning.
  • Potential for professional growth and development in a forward-thinking organization.
  • Participation in a mission-driven organization committed to technological excellence.

Requirements

  • Recent hands-on experience with AI tools such as LangChain, LangGraph/ADK, agentic frameworks, RAG, GraphRAG, and MCP for data capabilities.
  • Minimum of 5 years of experience in data engineering, including working with cloud data solutions like Spark-based ingestion and processing.
  • At least 3 years of experience with Data Lakehouse architecture and design, utilizing Python, pySpark, Kafka, Airflow, Google Cloud Storage, BigQuery, DataProc, and Cloud Composer.
  • Proficiency in developing data flows using Kafka, Flink, and Spark streaming technologies.
  • Strong problem-solving skills, adaptability, and ability to work effectively within a collaborative, agile environment.

About the company

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World’s Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.experis.com

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