TS/SCI Big Data Architect — Cloud & Analytics Leader

Cymertek Corporation

Chantilly (VA)

On-site

USD 140,000 - 190,000

Full time

12 days ago

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Benefits offered by this job

Excellent Salaries
Flexible Work Schedule
Cafeteria Style Benefits
10% - 401k Matching (Vested)
Additional 401k Profit Sharing
30 days Paid Leave/Holiday
Birthday day off
Medical/Dental/Vision - 100% employee
HSA/FSA
AFLAC
Disability - 100%

Job summary

Cymertek Corporation in Chantilly, VA is seeking a Big Data Architect to lead the design and implementation of scalable data architectures that support complex data processing and analytics. You will work with cross-functional teams to develop data strategies, ensure seamless data flow, and optimize storage and processing systems.

You will drive adoption of emerging technologies, ensure data security, and shape the future of our data infrastructure, enabling better business insights and

Qualifications

  • Bachelor's degree required; alternative through 4-5 years of relevant experience.
  • Experience with big data technologies and data architectures.
  • Ability to design scalable data systems.

Responsibilities

  • Design and implement end-to-end big data solutions
  • Develop and enforce data governance policies
  • Collaborate with teams to define data strategies
  • Optimize performance of data pipelines
  • Ensure compliance with data security standards
  • Research and adopt emerging big data technologies

Skills

Python
Scala
NoSQL
Cloud architectures
Version control
Data governance

Education

Bachelor's Degree

Tools

Hadoop
Spark
Kafka
Apache NiFi

Job description

Cymertek Corporation in Chantilly, VA is seeking a Big Data Architect to lead the design and implementation of scalable data architectures that support complex data processing and analytics. You will work with cross-functional teams to develop data strategies, ensure seamless data flow, and optimize storage and processing systems.

You will drive adoption of emerging technologies, ensure data security, and shape the future of our data infrastructure, enabling better business insights and

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