Job Title:
Big Data ArchitectAbout Skyhigh Security:
Skyhigh Security is a dynamic, fast-paced, cloud company that is a leader in the security industry. Our mission is to protect the world’s data, and because of this, we live and breathe security. We value learning at our core, underpinned by openness and transparency.
Since 2011, organizations have trusted us to provide them with a complete, market-leading security platform built on a modern cloud stack. Our industry-leading suite of products radically simplifies data security through easy-to-use, cloud-based, Zero Trust solutions that are managed in a single dashboard, powered by hundreds of employees across the world. With offices in Santa Clara, Aylesbury, Paderborn, Bengaluru, Sydney, Tokyo and more, our employees are the heart and soul of our company.
Skyhigh Security Is more than a company; here, when you invest your career with us, we commit to investing in you. We embrace a hybrid work model, creating the flexibility and freedom you need from your work environment to reach your potential. From our employee recognition program, to our ‘Blast Talks' learning series, and team celebrations (we love to have fun!), we strive to be an interactive and engaging place where you can be your authentic self.
We are on these too! Follow us on LinkedIn and Twitter@SkyhighSecurity.
Role Overview:
The Big Data Architect will be responsible for the design, implementation, and management of the organization’s big data infrastructure. The ideal candidate will have a strong technical background in big data technologies, excellent problem-solving skills, and the ability to work in a fast-paced environment. The role requires a deep understanding of data architecture, data modeling, and data integration techniques.Key Responsibilities:
- Design and implement scalable and efficient big data architecture solutions to meet business requirements.
- Develop and maintain data pipelines, ensuring the availability and quality of data.
- Collaborate with data scientists, data engineers, and other stakeholders to understand data needs and provide technical solutions.
- Lead the evaluation and selection of big data tools and technologies.
- Ensure data security and privacy compliance.
- Optimize and tune big data systems for performance and cost-efficiency.
- Document data architecture, data flows, and processes.
- Stay up-to-date with the latest industry trends and best practices in big data technologies.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 5+ years of experience in big data architecture and engineering.
- Proficiency in big data technologies such as Hadoop mapredue, Spark batch and streaming, Kafka, HBase, Scala, Elastic Search and others.
- Experience with AWS cloud platform.
- Strong knowledge of data modeling, ETL processes, and data warehousing.
- Proficiency in programming languages such as Java, Scala, Spark
- Familiarity with data visualization tools and techniques.
- Excellent communication and collaboration skills.
- Strong problem-solving abilities and attention to detail.
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
We're serious about our commitment to diversity which is why we prohibit discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.
Trellix is a global company redefining the future of cybersecurity. The company’s open and native extended detection and response (XDR) platform helps organizations confronted by today’s most advanced threats gain confidence in the protection and resilience of their operations. Trellix’s security experts, along with an extensive partner ecosystem, accelerate technology innovation through machine learning and automation to empower over 53,000 business and government customers. More at https://trellix.com.