Senior Data Platform Engineer at Sentra Funding

Tel-Aviv, Tel-Aviv District, Israel -

Full Time

Start Date

Immediate

Expiry Date

19 Sep, 26

Salary

0.0

Posted On

21 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Go, Node.js, PostgreSQL, MySQL, MongoDB, DynamoDB, Cassandra, Kafka, AWS, Docker, Kubernetes, Terraform, Distributed Systems, ETL/ELT, Data Lake

Industry

Computer and Network Security

Description

Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments while leveraging the power of AI without compromising security. Sentra’s unique approach enables enterprises to autonomously scan their environments without the need for agents, ensuring that data remains securely within their cloud or on-premises infrastructure. This innovative methodology sets us apart in the industry, providing organizations with control and visibility over their sensitive data at all times. Our commitment to excellence in data security posture management and data detection and response makes Sentra a leader in the field. We are looking for a Senior Data Platform Engineer to join our growing Platform team and help build the foundation that powers our products, analytics, and data-driven decision making. In this role, you will design, build, and operate the core data infrastructure that enables engineering teams to move fast while maintaining reliability, scalability, and operational excellence. You will work across databases, streaming systems, data lakes, cloud infrastructure, and platform services, solving complex challenges around scale, performance, and resilience. As a senior engineer, you will play a key role in shaping our data architecture, driving technical decisions, and mentoring other engineers. Responsibilities Design, build, and operate scalable data platform services and infrastructure. Develop high-quality software for distributed systems and data-intensive applications. Design and optimize data storage solutions across operational databases, data lakes, and analytical systems. Drive database performance improvements through query optimization, indexing strategies, schema design, and capacity planning. Build and maintain event-driven architectures and streaming data pipelines. Develop and improve data ingestion, transformation, orchestration, and processing frameworks. Partner with product, engineering, analytics, and AI teams to deliver scalable and reliable data solutions. Improve platform reliability, observability, and operational excellence through automation and engineering best practices. Build and enhance CI/CD pipelines, deployment processes, and developer tooling. Lead architecture discussions and contribute to long-term platform strategy. Troubleshoot complex production issues and drive root-cause analysis and preventative improvements. Mentor engineers through code reviews, technical guidance, and knowledge sharing. Requirements 5+ years of experience building and operating large-scale backend, platform, or data infrastructure systems. Strong programming skills in Python, Go, or Node.js. Deep understanding of distributed systems, scalability, reliability, and performance optimization. Strong experience with relational databases such as PostgreSQL or MySQL. Strong experience with NoSQL databases such as MongoDB, DynamoDB, Cassandra, or similar technologies. Proven experience optimizing database performance, query execution, indexing strategies, and large-scale data models. Experience designing and operating data lakes and large-scale storage systems. Experience building and maintaining data pipelines and ETL/ELT workflows. Experience with event-driven architectures and messaging platforms such as Kafka. Hands-on experience with cloud platforms, preferably AWS. Experience with Docker, Kubernetes, and Infrastructure as Code tools such as Terraform. Strong experience with monitoring, observability, and production troubleshooting. Excellent communication and collaboration skills. Nice to Have Experience with CDC (Change Data Capture) architectures. Experience with Apache Kafka, Redis, PostgreSQL, and MongoDB at scale. Experience with modern data technologies such as Iceberg, Delta Lake, Spark, Flink, Airflow, Dagster, Snowflake, ClickHouse, or BigQuery. Experience supporting AI/ML data platforms and large-scale analytics workloads. Experience leading technical initiatives and mentoring engineers. Why Join Us? You'll work on some of the most critical systems in the company, building the platform that powers product development, analytics, and future AI initiatives. This is an opportunity to solve challenging engineering problems at scale and have a significant impact on the company's technical direction.

Responsibilities

Design, build, and operate scalable data platform services and core infrastructure to support products and analytics. Lead architecture decisions and mentor engineers while optimizing data storage and streaming pipelines.