[xrecnet] Sr. Data Engineer(Big Data) W/Data architecture experience(10+ Years)///Seattle, WA

Sr. Data Engineer(Big Data) W/Data architecture experience(10+ Years)

Seattle, WA

12 Months

 

Job Description:

 

Senior Data Engineer to help design and implement cloud services for their Data Science platform, ensuring a streamlined experience for data scientists and engineers.

This position demands technical expertise, and hands-on leadership to drive innovation in enterprise-scale data infrastructure. Collaboration with Applied Scientists, Knowledge Engineers within the Data Governance Team, and Data Engineering in the AI Platform team is essential. Additionally, the Senior Engineer will work closely with InfoSec and Security teams to ensure secure and seamless integration and coordinate with engineering leadership to manage technical risk and deliver critical features on time.

Accelerate the development and fine-tuning of Agentic AI models to improve their capabilities and performance. In parallel, implement vertical benchmarking programs like EDGE to create strict evaluation criteria and enable comparison of various AI models and applications. Empower PXE Engineers to increase AI productivity and act as a force multiplier

Key Result Areas and Activities:

• Seeking a Data Engineer with 10+ years of hands-on data architecture experience designing and managing large-scale data lakes and warehouses.
• Solid understanding and hands-on experience with Apache Iceberg and AWS Glue
• Deep experience with AWS systems like Lake formation, IAM and Redshift.
• Proficiency in Python, Scala, or Java for ETL and custom tooling is essential.
• Proven expertise in complex schema and ERD design, maintaining data dictionaries, and developing real-time/batch data pipelines using tools like Kafka, Spark, or similar.
• AI/ML integration familiarity, leadership abilities, and strong problem-solving skills

 

Required Skills:

• Big Data Technologies
• AWS experience AWS Glue, Redshift, SageMaker
• Databricks 
• Snowflake
• Building large pipelines
• Experience in data and ML lifecycle

·        Include architectural leadership, data modeling, building real-time data pipelines, implementing data governance, optimizing performance, and enabling AI/ML workflows.

 

Desirable Skills:

• Data Governance: Hands-on experience with implementing data governance frameworks, compliance, and security standards.
• Leadership: Demonstrated ability to lead teams, mentor junior engineers, and work in cross-functional environments.
• Experience with vector databases/RAG, petabyte-scale data, advanced analytics tools, and industry experience in AI/ML, SaaS, or cloud technology

 

 

Regards,

 
Satya
Technical Recruiter

Key Business Solutions, Inc|| Office: 916 646 2080 Ext 216 || Fax: 916 646 2081 || Email: satya@keybusinessglobal.com || Website: www.key-soft.com || Yahoo IM/G Talk: satyakeysoft 

Notice: This email is not intended to be a solicitation.  Please accept our apologies and reply in the subject heading with REMOVE to be removed from our Mailing list. Thank You.

 

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