Staff Data Engineer

Job Description

Later is seeking a Staff Data Engineer to lead the design and scaling of its data platform. This role involves integrating multiple data sources and ensuring high availability, efficiency, and security. The Staff Data Engineer will drive architectural decisions, optimize large-scale data processing, and develop real-time analytics infrastructure. They will partner with cross-functional teams, including data science, product, and engineering, to shape the company's data roadmap and implement best practices.Responsibilities:

• Lead the design and evolution of a scalable data architecture.
• Architect and optimize data pipelines for batch and real-time data processing.
• Implement best practices for distributed data processing.
• Define and enforce data governance policies.
• Ensure data security and compliance with industry regulations.
• Drive innovation in data engineering practices.
• Work closely with data scientists, engineers, analysts, and business stakeholders.
• Develop reusable frameworks, libraries, and automation tools.
• Guide and mentor data engineers.
• Establish and monitor SLAs for data pipelines.

Requirements:

• 10+ years of experience in data engineering, software engineering, or related fields.
• Proven experience leading the technical strategy and execution of large-scale data platforms.
• Expertise in cloud technologies (Google Cloud Platform, AWS, Azure).
• Strong proficiency in SQL, Python, and distributed data processing frameworks (Apache Spark, Flink, Beam, etc.).
• Extensive experience with streaming data architectures using Kafka, Flink, Pub/Sub, Kinesis, or similar technologies.
• Expertise in data modeling, schema design, indexing, partitioning, and performance tuning for analytical workloads.
• Strong experience designing and optimizing scalable, fault-tolerant data pipelines using workflow orchestration tools like Airflow, Dagster, or Dataflow.
• Ability to lead and influence engineering teams, drive cross-functional projects, and align stakeholders towards a common data vision.
• Experience mentoring senior and mid-level data engineers to enhance team performance and skill development.

The role offers:

• Opportunity to work at the forefront of designing and scaling a data platform.
• Chance to drive architectural decisions and optimize large-scale data processing.
• Collaboration with cross-functional teams.
• Strategic role in shaping the company's data roadmap.
• Opportunity to implement best practices and influence long-term data strategies.