Big Data Architect

Cymertek • Honolulu, HI

3d

About The Position

We are looking for a skilled and innovative Big Data Architect to join our team and lead the design and implementation of robust, scalable data architectures that support complex data processing and analysis. In this role, you will work closely with cross-functional teams to develop data strategies, ensure seamless data flow, and optimize data storage and processing systems. You will have the opportunity to shape the future of our data infrastructure by leveraging the latest technologies to drive business insights and improve decision-making. If you're passionate about big data, solving complex challenges, and building cutting-edge solutions, we invite you to join us on this exciting journey. Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family.

Requirements

• Proficiency in Hadoop, Spark, and Kafka
• Expertise in data pipeline tools (e.g., Apache NiFi)
• Advanced programming in Python or Scala
• Strong knowledge of NoSQL databases
• Ability to design scalable cloud architectures
• Experience with version control systems

Nice To Haves

• Familiarity with real-time analytics tools
• Understanding of machine learning algorithms
• Experience with containerization (Docker/Kubernetes)
• Knowledge of edge computing frameworks
• Expertise in multi-cloud data management
• Hands-on experience with BI integration

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

Benefits

• Excellent Salaries
• Flexible Work Schedule
• Cafeteria Style Benefits
• 10% - 401k Matching (Vested Immediately)
• Additional 401k Profit Sharing
• 30 days Paid Leave/Holiday (No Use or Lose!)
• The day off for your birthday
• Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
• HSA/FSA
• AFLAC
• Long Term/Short Term Disability - 100% employee coverage. No cost to you.
• Life Insurance - 100% employee coverage. No cost to you.
• Additional Discretionary Life Insurance
• Paid Training
• Referral bonus program with recurring annual payments

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level