Acceldata
data observability
PrincipalEngineer-OpenSourceDataPlatform(ODP)
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“Principal Engineer - Open Source Data Platform (ODP) at Acceldata. Skills: Distributed systems, Data platforms, Open source, Architecture. Define long-term technical strategy. Drive architecture for Open Data Platform”
What You'll Achieve.
Define the long-term technical strategy; Shape product direction; Drive innovation; Influence the broader data ecosystem; Build technology that matters; Shape the direction of a growing data observability company
Industry & Context.
Lead resolution of the most challenging technical problems spanning architecture, performance, scalability, and reliability; Diagnosing and resolving complex distributed system issues
What They're Looking For.
Must Have
15+ years of hands-on software development experience, at least 8 years focused on distributed systems, big data platforms, or data infrastructure, Proven track record of leading large-scale technical initiatives from conception to production across multiple teams, Expert-level proficiency in Java or skills in Python and systems languages, Deep expertise in distributed computing, including consensus protocols, distributed transactions, data replication, partitioning strategies, and optimization with modern table formats, Extensive experience in architecting and scaling systems using Hadoop, Spark, Hive, Trino, Kafka, Flink, and related technologies at production scale (100s to 1000s of nodes), Demonstrated ability to design and evolve complex systems that handle petabyte-scale data with high availability and performance requirements, Expert knowledge of cloud-native architectures, Kubernetes orchestration, and multi-cloud deployment patterns, Track record of diagnosing and resolving complex distributed system issues, including performance optimization, resource management, and failure mode analysis, Significant contributions to major open-source, experience working with distributed global teams and open-source governance models, Exceptional written and verbal communication, proven ability to influence technical direction across organizations and with external stakeholders, Ability to balance long-term technical vision with near-term delivery, experience making build vs. buy decisions
Nice to Have
PMC member or committer status in Apache projects (e.g., Spark, Kafka, Hive, Hadoop, Iceberg, Flink, Trino), Speaker at major conferences (ApacheCon, Spark Summit, Kafka Summit, QCon, etc.); published papers or widely-read technical content, Experience building or contributing to query engines, optimizers, or execution frameworks, Deep experience with modern lakehouse architectures, table formats (Iceberg, Delta, Hudi), and data mesh patterns, Experience with ML infrastructure, feature stores, or MLOps platforms, Experience scaling engineering organisations in high-growth environments, Master's or PhD in Computer Science, with a focus on distributed systems, databases, or related fields
What You'll Do.
Define long-term technical strategy
Drive architecture for Open Data Platform
Own design of complex systems
Establish architectural principles
Identify emerging technologies
Drive Apache project contributions
Represent Acceldata at conferences
Influence project roadmaps
Collaborate with leadership
Translate business strategy
Provide technical due diligence
Influence engineering practices
Establish best practices
Mentor Staff Engineers
Develop technical leadership
Lead resolution of technical problems
Engage with strategic customers
Translate customer needs
Drive alignment across teams
Work across diverse environments
How You'll Work.
Team & Collaboration
Work directly with engineering leadership and executives; Collaborate with CTO, VP of Engineering, and Product leadership; Influence engineering practices, tools, and culture across multiple teams; Drive alignment across engineering, product, and operations; Work with distributed global teams
Communication Scope
Exceptional written and verbal communication; Proven ability to influence technical direction
Process & Methodology
Leading large-scale technical initiatives from conception to production
Full Job Description
## Description ABOUT THE ROLE We are seeking a Principal Engineer with at least 14 years of experience to serve as a technical visionary and thought leader for Acceldata's Open Data Platform (ODP). In this role, you will define the long-term technical strategy, lead the most complex architectural initiatives, and represent Acceldata in the global open-source and distributed systems community. You will work directly with engineering leadership and executives to shape product direction while driving innovation across the organization. WHY JOIN US? As a Principal Engineer at Acceldata, you will be at the forefront of shaping the future of enterprise data platforms, defining the technical vision for systems that power mission-critical workloads across the world's largest organizations. Your decisions will directly influence not only our platform but also the broader data ecosystem through open-source contributions and industry leadership. You'll work alongside Apache members, committers, and industry veterans who are passionate about solving the hardest problems in distributed computing. This is a rare opportunity to combine deep technical impact with strategic influence, building technology that matters while shaping the direction of a growing data observability company. ## RESPONSIBILITIES Define and drive the long-term technical strategy and architecture for the Open Data Platform, aligning with business objectives and industry trends. Own the design of the most complex, high-impact systems and establish architectural principles and patterns that scale across the organization. Identify emerging technologies and industry trends; lead research and development initiatives that position Acceldata at the cutting edge of data platform innovation. Serve as a recognized leader in the open-source community; drive Apache project contributions, represent Acceldata at conferences, and influence project roadmaps. Collaborate with CTO, VP of Engineering, and Product leadership to
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