Technical Lead, Scalable Data Platform

StratITech; San Francisco (CA); On-site; USD 240,000 - 270,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

StratITech is hiring a Technical Lead – Data Platform in San Francisco to set the technical direction for a high-scale data platform and its processing systems. This hands-on leadership role requires guiding architecture, mentoring engineers, and delivering complex components.

You will collaborate across product, data science, ML, and infra teams to improve scalability, performance, and observability while maintaining rigorous engineering standards.

Qualifications

• 10+ years of experience building production data platforms, distributed systems, infrastructure, or systems software.
• Deep experience designing and operating distributed systems.
• Strong experience with event-driven architectures and asynchronous processing.
• Hands-on experience with large-scale data technologies such as Kafka, Spark, Flink, or comparable frameworks.
• Experience with workflow orchestration and complex data-processing pipelines.
• Experience with modern lakehouse or analytical-storage technologies such as Apache Iceberg, Delta Lake, or similar.
• Professional experience with at least one systems-oriented programming language.
• Strong performance-engineering instincts, including profiling, concurrency, throughput, and latency optimization.
• Experience setting technical direction through architecture, design reviews, code reviews, and mentorship.
• Excellent technical communication and sound engineering judgment.
• Ability to work onsite in San Francisco five days per week.

Responsibilities

• Own the technical direction and architecture of the data platform and processing systems.
• Lead technical execution across system design, sequencing, standards, and tradeoffs.
• Build the most complex, high-risk, and performance-sensitive platform components.
• Prototype, benchmark, and validate technical approaches before broader implementation.
• Identify and reduce architectural and delivery risks.
• Establish standards for system design, implementation, testing, observability, and documentation.
• Lead architecture reviews, design reviews, and code reviews.
• Mentor senior engineers and raise the technical bar across the team.
• Collaborate with product, data science, machine learning, infrastructure, and SRE teams.
• Improve platform scalability, resilience, performance, and observability.
• Clearly communicate complex engineering decisions and tradeoffs to technical and nontechnical stakeholders.

Skills

Distributed systems

Event-driven architectures

Kafka

Spark

Flink

Data platform design

Mentoring engineers

Technical leadership

Performance optimization

Code reviews

Architecture reviews

Job description

StratITech is hiring a Technical Lead – Data Platform in San Francisco to set the technical direction for a high-scale data platform and its processing systems. This hands-on leadership role requires guiding architecture, mentoring engineers, and delivering complex components.

You will collaborate across product, data science, ML, and infra teams to improve scalability, performance, and observability while maintaining rigorous engineering standards.