Caylent · 9 hours ago
Big Data Architect
Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). The role of Big Data Architect involves working with the Cloud Data Engineering team to deliver AWS solutions, guiding architectural choices, and mentoring less experienced teammates.
Cloud ComputingCloud InfrastructureDevOpsIaaS
Responsibilities
You will be a mission control specialist, guiding Cayliens and Customers alike through Agile ceremonies like stand-ups, retrospectives, and more
You will translate customer requirements and into a workable backlog of tickets for engineers
Delegate tickets to a team of engineers in order to complete customer projects
Lead requirements gathering, backlog grooming, and architecture discussions
Apply your understanding of DevOps pipelines, including build automation, branching strategies,CI/CD, Infrastructure as Code, security, monitoring, logging, and alerting
Troubleshoot and resolve issues in customer dev, test, and production environments
Automate software testing at multiple levels (component, configuration item, subsystem, system) and monitor results
Write production quality code, including unit and integration tests
Work with a team to deliver top-quality cloud native applications on AWS for customers
Clearly communicate and document your designs, processes, and procedures
You will demonstrate a passion to Stay Curious as you mentor peers, tackle new technologies, and learn from our word-class team of engineers
Coach and mentor less experienced teammates, coach and be mentored by world class engineers
Guide architectural choices and ensure technical viability
Communicate clearly with stakeholders on solution decisions
Ensure performance, security, and scalability in designs
Produce architectural documentation and technical assessments
Qualification
Required
Proficient in the end-to-end data platform lifecycle, with the ability to design complex data solutions independently, deploy enterprise data platforms in production, build DataOps systems in AWS, and architect data lakes using Delta Lake and advanced optimization patterns
Solid experience architecting data warehouses with advanced security, multi-tenant models, PII masking, and enterprise BI solutions with strong governance and Data-as-a-Product patterns
Hands-on experience optimizing Spark/PySpark at scale, including key skew handling and dynamic partitioning strategies
Solid experience in designing advanced streaming architectures with load balancing, fault tolerance, and cross-system integrations
Experience with scalable AWS architectures and IaC standards
Expert-level in Python for distributed or event-driven systems
Solid experience with architecture assessments and cost estimations
Solid experience enforcing technical standards and documentation quality
6+ years designing big data solutions
3+ years of AWS architecture experience
Advanced English (minimum C1)
Preferred
Experience with data mesh, dbt, and governance tooling knowledge
Experience with emerging technologies (e.g., real-time analytics, IoT)
Prior consulting/professional services experience
AWS certifications (Professional/Specialty)
Bachelor's/Master's degree in a related field
Benefits
Medical Insurance for you and eligible dependents
100% remote work
401k plan with company match up to 4% and immediate vesting
Competitive phantom equity
Company issued laptop
Dental and Vision insurance
Term Disability Insurance
Term Life Insurance
Flexible Spending Account
Equipment & Office Stipend
Annual stipend for Learning and Development
Unlimited Paid Time Off, following a 90-day probationary period
10 Paid Holidays
Company
Caylent
AWS Premier Partner for Cloud Native Services
Funding
Current Stage
Late StageTotal Funding
$16.21MKey Investors
Gryphon InvestorsEast Los Capital
2022-11-15Private Equity
2022-11-15Acquired
2021-09-27Private Equity· $16M
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