Description
WHO WE ARE
Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera’s mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data security.
THE OPPORTUNITY
As a Sr. Analytics Engineer, you will drive the architecture, development, and optimization of our analytics infrastructure. You’ll work closely with cross-functional teams (data science, engineering, security, and product) to ensure that the company leverages data insights effectively to drive business decisions, enhance product security, and support our growth. Your primary responsibility will be to design and implement data models, pipelines, and analytics frameworks that empower internal and external stakeholders with secure, accurate, and actionable data insights.
RESPONSIBILITIES:
- Architect, build, and maintain robust, scalable data pipelines and analytics infrastructure that supports real-time data insights and reporting.
- Design efficient and secure data models and warehouses that facilitate optimized querying, reporting, and analytics workflows.
- Implement, maintain, and optimize ETL/ELT processes that handle the ingestion, transformation, and loading of large, complex datasets, ensuring data quality and security at every step.
- Collaborate with data scientists, security engineers, and product managers to gather requirements, prioritize projects, and build analytics solutions that directly contribute to business objectives.
- Ensure that all data-related processes meet the highest standards of security, privacy, and compliance (GDPR, CCPA, etc.). Work closely with the security team to design secure analytics environments.
- Continuously monitor and optimize data infrastructure performance for scalability, efficiency, and reliability.
- Develop data visualizations, dashboards, and reporting systems that enable stakeholders to easily access key insights and metrics.
- Automate routine tasks and processes, leveraging modern data tools and frameworks to improve team efficiency.
Requirements
REQUIRED QUALIFICATIONS:
- 5+ years of experience as a data/analytics engineer, with at least 2+ years in a senior role.
- Expert in SQL, Python, or R for data analysis and transformation.
- Proficient in data modeling and database design (e.g., Snowflake, Redshift, BigQuery).
- Deep experience with ETL/ELT tools (e.g., dbt, Airflow, Apache Spark) and cloud data platforms (AWS, GCP, or Azure).
- Strong understanding of data warehousing concepts, architecture, and technologies.
- Experience with modern BI tools (e.g., Looker, Tableau, PowerBI).
- Familiarity with data versioning, CI/CD, and DevOps practices for analytics engineering.
- A strong background or understanding of data security principles, encryption, and compliance standards (e.g., GDPR, CCPA).
- Proven ability to handle complex datasets, troubleshoot issues, and find innovative solutions.
- Strong written and verbal communication skills with the ability to convey technical information to non-technical stakeholders.
COMPENSATION INFORMATION:
In addition to a standard benefits and equity package, we offer a generous salary. Final compensation will vary based on seniority and relevance of experience, location, and position requirements.
This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors.
BENEFITS - Why Cyera?
- Ability to work remotely, with office setup reimbursement
- Competitive salary
- Unlimited PTO
- Paid holidays and sick time
- Health, vision, and dental insurance
- Life, short and long-term disability insurance
Location Requirements
None
Top Skills
What We Do
Data Security Designed for the Data-driven Enterprise
Awards and accolades:
2024 Globee Disriptors
2023 Data Security Platform of the Year - Data Breakthrough Awards
2023 Cloud Data Security Product of the year - Cloud Computing Magazine
Cyera at a glance:
Cyera is the data security company that gives businesses context and control over their most valuable asset: data.
As a pioneer in Data Security Posture Management (DSPM), Cyera instantly provides companies visibility over all of their sensitive data, context over the risk it represents & their security exposure, and automated remediation to reduce the attack surface and ensure operational resilience. We are redefining the way companies secure their data.
How Cyera is different:
Cyera takes a data-centric approach to security, assessing the exposure to your sensitive data, everywhere. Our DataGraph automatically and continuously learns from your environment, assessing your threat surface, data access, and security controls across multiple dimensions of risk.
Because Cyera applies deep data context holistically across your data landscape, we are the only solution that can empower security teams to know where their data is, what exposes it to risk, and take immediate action to remediate exposures and assure compliance without disrupting the business.
Why your business needs Cyera:
Mass migration to multi-cloud and work from anywhere has broken traditional security. It has never been easier for siloed projects, rapid dev cycles, or human error to result in a data breach or ransomware attack. Cyera dynamically develops deep context about the sensitive data across your hybrid cloud landscape, assessing your threat surface, data access, and security controls and quickly remediating exposures to your most valuable & vulnerable data.
Case Studies:
Healthcare - https://www.cyera.io/use-case/healthcare
Finance - https://www.cyera.io/use-case/finance
Tech - https://www.cyera.io/use-case/technology