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Staff Engineer

2 months ago

Delhi, India Kleos Recruitment Full time
Staff Data EngineerLocation: RemoteFull-Time Role

Our client is a fast-growing, venture-backed startup building a modern data collaboration platform that enables data teams to work better together. They empower data engineers, analysts, and business users to collaborate seamlessly, democratize data, and make data-driven decisions faster.

Role Overview:We are looking for a

Staff Data Engineer

to join our team and play a pivotal role in shaping the architecture and technical direction of the company’s platform. As a Staff Data Engineer, you will work on complex, high-impact projects and drive innovation across our core infrastructure, building scalable systems that power the company’s data collaboration platform. You will collaborate closely with other engineering leaders, product teams, and cross-functional teams to ensure the company’s platform remains reliable, performant, and secure as they scale.

Responsibilities:Architect and Design Scalable Systems:

Lead the design and architecture of core systems, ensuring they can handle large-scale data collaboration workloads while maintaining high performance and reliability.Drive Technical Strategy:

Collaborate with engineering leadership to define the long-term technical roadmap and ensure alignment with business objectives. Be a thought leader in core engineering, pushing for best practices in system design and development.Mentor and Lead Teams:

Provide technical mentorship to engineers across the organization. Foster a culture of collaboration, continuous improvement, and innovation within the engineering team.Hands-on Development:

Be involved in coding and solving critical problems across the system. Lead by example with a high standard of code quality, testing, and reliability.Optimize Performance:

Analyze and optimize the performance of the platform. Build efficient, reusable, and scalable solutions for handling high throughput, low-latency data operations.Cross-functional Collaboration:

Work closely with product managers, data engineers, and platform engineers to ensure the company's core services meet the growing needs of customers.Enhance Security and Compliance:

Develop systems with a focus on security, data privacy, and compliance, ensuring that the company meets industry standards and regulations (e.g., GDPR).

Key Requirements:8+ years of software engineering experience , with a focus on backend systems, cloud infrastructure, or distributed systems.Strong experience with

cloud platforms

(AWS, GCP, or Azure) and building cloud-native applications.Expertise in programming languages such as

Python ,

Java , or

Go , and hands-on experience with

microservices architecture .In-depth knowledge of

data architecture

and distributed systems, with a focus on performance, scalability, and fault tolerance.Experience working with modern data infrastructure tools such as

Kubernetes ,

Apache Kafka ,

Airflow ,

dbt , and

Snowflake .Solid understanding of

databases

(SQL and NoSQL), data warehouses, and metadata management.Proven experience in

technical leadership

and mentoring, guiding engineering teams through design, development, and deployment.Excellent problem-solving skills, a strong sense of ownership, and the ability to work autonomously.Strong communication and collaboration skills, with experience working in cross-functional teams.

Preferred Qualifications:Experience with

data engineering

tools and frameworks, particularly in integrating complex data systems.Familiarity with

DevOps practices , CI/CD pipelines, and cloud-based infrastructure automation.Prior experience working in a fast-paced startup environment is a plus.Contributions to

open-source projects

or experience in the data community.