Big Data Architect: Lead Scalable Data Platforms & Governance

Cymertek Corporation; Aurora (CO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Excellent Salaries

Flexible Schedule

Cafeteria Style Benefits

401k Matching

Paid Leave/Holiday

Birthday off

Medical/Dental/Vision - 100% coverage

HSA/FSA

AFLAC

Life Insurance - 100% coverage

Paid Training

Referral bonus program

Job summary

Cymertek seeks a skilled Big Data Architect in Aurora, CO to design and implement scalable data architectures supporting complex data processing and analysis. You will work with cross-functional teams to shape data strategies, optimize data storage and processing, and drive business insights using the latest technologies.

The role focuses on building robust data pipelines, ensuring data security, and adopting emerging tools to advance our data infrastructure and decision-making capabilities.

Qualifications

• Bachelor's degree in a relevant field (e.g., CS, IT, Data Science, Software Engineering).
• 4–5 years of experience may compensate for a degree in some contracts.
• Proven experience designing and implementing big data architectures.

Responsibilities

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

Skills

Hadoop

Spark

Kafka

Apache NiFi

Python

Scala

NoSQL

Cloud architectures

Version control

Real-time analytics

Machine learning

Docker

Kubernetes

Edge computing

Multi-cloud data management

BI integration

Education

Bachelor's Degree

Tools

Docker

Kubernetes

Job description

Cymertek seeks a skilled Big Data Architect in Aurora, CO to design and implement scalable data architectures supporting complex data processing and analysis. You will work with cross-functional teams to shape data strategies, optimize data storage and processing, and drive business insights using the latest technologies.

The role focuses on building robust data pipelines, ensuring data security, and adopting emerging tools to advance our data infrastructure and decision-making capabilities.