Senior Data Engineer

Location: Bulgaria, Sofia (BG)

Experience Level: IC

Description

At Cognyte, you’ll collaborate with expert colleagues around the globe to solve problems most people will never even know exist!

You’ll be part of building unique solutions shaped by real investigative methodologies, enabling our customers to identify, investigate, visualize and prevent criminal, terror and security threats worldwide.

These solutions are used by law enforcement, national security, and national and military intelligence agencies in almost 100 countries to turn massive, diverse data into clear, actionable intelligence for a safer world.

We are looking for a passionate Senior Data Engineer to join our Data Platform team. In this role, you will be an individual contributor working on the design and implementation of our data lakehouse infrastructure. You will help build scalable, high-performance data foundations that support analytics, BI, and future data-driven capabilities across the platform.

The mission is to deliver a successfully working data lakehouse based on modern data engineering technologies, medallion architecture, scalable processing, and reliable data quality.

As a Cognyter you will:

• Design, build, and optimize scalable data lakehouse platforms using technologies such as Spark, Iceberg, Trino, ClickHouse, and AWS/hybrid infrastructure.
• Develop and maintain batch and streaming data pipelines, workflow orchestration, and data-serving layers, ensuring reliability, scalability, and performance.
• Own data modelling, medallion architecture (bronze, silver, gold), ClickHouse optimization, cost estimation, and platform governance, including data quality, lineage, and observability.
• Collaborate with BI users, engineers, and stakeholders to deliver curated datasets, support analytics and reporting, and contribute to architectural decisions.
• Provide hands-on support for platform operations, infrastructure-related tasks, and continuous improvement of the data ecosystem.

Requirements

For that mission you’ll need:

• At least 5 years of total software/data engineering experience.
• Previous experience in a senior-level engineering role.
• Strong hands-on experience with SQL and Python.
• Strong experience with Apache Spark.
• Experience working with large-scale distributed systems and high-volume data.
• Experience with Kubernetes.
• Good English communication skills.

Advantage:

• Experience with Apache Iceberg.
• Experience with data governance, access control, and data security.

Soft skills that would help you succeed:

• Ownership — you take responsibility for technical decisions and follow through until things work reliably in production.
• Curiosity — you enjoy learning new technologies and understanding how systems behave under scale.
• Problem-solving mindset — you can break down complex data platform challenges into practical, deliverable steps.
• Collaboration — you work well with engineers, BI users, architects, and stakeholders.
• Communication — you can explain technical trade-offs clearly and raise risks early.
• Pragmatism — you balance clean architecture with real delivery needs.
• Attention to detail — you care about correctness, data quality, and long-term maintainability.
• Adaptability — you are comfortable working in an evolving platform where not everything is predefined.

You’ll be a great fit if you:

• Are passionate about technology and modern data platforms.
• Learn quickly and are comfortable working with new tools.
• Enjoy hands-on engineering more than people management.
• Like solving performance, scaling, and architecture problems.
• Want to help build a data lakehouse that becomes a core foundation for analytics and data-driven products.