Lead Cloud Data Platform Engineer

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Job Description

STRATEGIC STAFFING SOLUTIONS (S3) HAS AN OPENING!

Strategic Staffing Solutions is currently looking for a Lead Cloud Data Platform Engineer, a W2 contract opportunity with one of our largest clients!

Candidates should be willing to work on our W2 ONLY, NO C2C

Job Title: Lead Cloud Data Platform Engineer

Role Type: W2 only

Duration: 12 months

Locations: AZ, Dallas, Charlotte, Philadelphia

Schedule: Onsite

Required Skills:

5+ years of Data engineering
Hadoop and GCP
Data Lake architecture and design
NoSQL databases

Job Summary:

We are looking for someone to join our 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.

We are currently seeking a Lead Cloud Data Platform Engineer to apply deep technical skills to create data products, develop AI-based automation tools, and build a world-class cloud analytics capability for company’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. You will be an integral part of our migration from our on-premises systems to the Google Azure cloud. You will be a vital member of an agile team helping to lead the design and hands-on 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.

Responsibilities:

In this role you will

 Implement and operationalize modern self-serve 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 GCP to shape the future of data

Required Skills:

 5+ years of experience in data engineering including hands-on experience working with Hadoop and Google Cloud data solutions: creating/supporting Spark based processing, Kafka streaming, in a highly collaborative team

 3+ years of experience with Data lakehouse architecture and design, including hands-on experience with Python, pySpark, Apache Kafka, Airflow, and SQL, GPC Cloud Storage, BigQuery, Data Proc, Cloud Composer

 2+ years working with NoSQL databases such as columnar databases, graph databases, document databases, KV stores, and associated data formats

 Public cloud certifications such as GCP Professional Data Engineer, Azure Data Engineer, or AWS Specialty Data Analytics

Desired Qualifications:

 Proven skills with data migration from on-prem 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 built-in data controls for automating data governance

 Familiarity of GenAI frameworks such as Langchain and Langraph to develop agent-based 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

“Beware of scams. S3 never asks for money during its onboarding process.”

Job Information

Rate / Salary

$0.00 - $0.00

Sector

Banking