Principal Data Architect

Overview

Oleria is an enterprise cybersecurity startup founded by industry veterans, backed by over $43M in funding. We're on a mission to transform access control for enterprise cloud applications, using cutting-edge AI and graph technology to combat identity-based attacks and data breaches.

Oleria was founded by notable industry senior leaders Jim Alkove and Jagadeesh Kunda, with deep security, data, and SaaS experience building and securing some of the world’s largest platforms and products used by billions of people worldwide every day. Oleria has received over $43M in funding from Evolution Equity Partners, Salesforce Ventures, Tapestry VC, Zscaler, and other technology luminaries. 

We recognize that identity-based attacks on cloud applications are becoming increasingly common, highlighting the importance of addressing access risks to prevent data breaches. Traditional access management methods are human-intensive and often have significant blind spots, making it challenging to manage access risks effectively. At Oleria, we are on a mission to revolutionize access control solutions for enterprise cloud applications, aiming to reduce the opportunity and scope of data breaches. 

Our esteemed target customers consist of Fortune 500 corporations and public sector organizations, making your contributions vital to improving the security of data for millions of people around the world.

Engineering at Oleria:

We're building a data-driven, autonomous identity security platform. Our core is an advanced data platform that leverages AI to analyze access intelligence graphs, delivering adaptive and self-learning access controls. We're passionate about creating intuitive, customer-centric products that provide unparalleled visibility, control, and defense.

About You:

You're a data architecture visionary, ready to escape corporate limitations. You crave a startup environment where your designs lay the foundation for groundbreaking products. We offer autonomy, impact, and the opportunity to redefine how identity security is built and scaled.

Your Playground:

No Ivory Towers: Ideas rule, not titles. Your expertise will shape our data infrastructure, influence product strategy, and mentor future data leaders.

Data that Protects: You'll architect systems that seamlessly ingest, process, and analyze petabyte-scale data to power AI-driven security insights.

Cutting-Edge Tech: We embrace innovation. You'll experiment with the latest cloud data technologies, optimize for performance, and build systems that handle the challenges of tomorrow.

Collaborative Spirit: We're a tight-knit team valuing open communication. Your voice matters, and your ideas fuel our collective success.

Your Strengths:

Data Architecture: You possess deep expertise in designing, building, and managing large-scale, distributed data architectures, with a focus on security, scalability, and performance.

Cloud Data: You harness the power of cloud platforms (especially AWS) to build efficient and cost-effective data solutions, leveraging services like S3, Redshift, EMR, and Glue.

Data Modeling & Governance: You excel at data modeling, schema design, and establishing data governance frameworks to ensure data quality, integrity, and compliance.

Problem Solving & Optimization: Complex data challenges excite you. You dissect them with creativity, logic, and find elegant solutions to optimize data pipelines and queries for maximum efficiency.

Mentorship: You're passionate about sharing your knowledge and fostering a culture of data-driven decision-making within the team.

Job Duties

• Architect & Build Data Infrastructure: Design and implement the core data architecture for our identity security platform, ensuring it can handle massive volumes of diverse data sources, including real-time cloud identity access logs and metadata.
• Own & Drive Next Generation Identity Security Schemas: Own the definition and evolution of our data schemas and formats that represent identity security posture, threats, and risks as well as providing the foundation for autonomous least privilege identity security posture management and governance
• Optimize Data Pipelines: Build and optimize data ingestion, processing, and transformation pipelines to efficiently collect, clean, and prepare data for AI/ML models.
• Enable Data-Driven Insights: Design data models and structures that empower our AI/ML engineers to extract valuable insights and build effective security models.
• Champion Data Governance: Establish and enforce data governance policies, ensuring data quality, security, and compliance with industry regulations.
• Collaborate: Work closely with backend, AI/ML, and product teams to align data architecture with product requirements and ensure seamless integration.
• Innovate: Stay ahead of the curve by researching and evaluating new data technologies and approaches to continuously enhance our data infrastructure.

Job Requirements

• 10+ years of experience in data architecture, data engineering, or a related field, with a focus on large-scale, distributed systems.
• Expertise in data modeling, schema design, and data warehousing principles.
• Proficiency in SQL and at least one programming language (Golang and Python preferred).
• Hands-on experience with cloud data platforms (AWS preferred) and big data technologies (e.g., Hadoop, Spark).
• Strong understanding of data security, privacy, and governance best practices.
• Excellent communication and collaboration skills, with the ability to bridge the gap between technical and business stakeholders.
• Graph database experience.
• Familiarity with AI/ML concepts and their implications for data architecture.
• Demonstrated experience in all areas outlined in the job duties.
• Willing and able to work in a local Oleria office 3x per week, Tuesday through Thursday and attend other in person events as necessary.

The base annual compensation range being offered for this role depending on individual candidate level and experience is $180,000 to $240,000 and it provides an opportunity to participate in equity ownership of our technology startup.