OXIO · 2 weeks ago
Staff Data Platform Engineer
OXIO is the world’s first telecom-as-a-service (TaaS) platform, democratizing telecom for brands and enterprises. The Staff Data Platform Engineer will lead the design, development, and scaling of the data platform, driving governance and building scalable APIs for analytics use cases across various domains.
Cloud Data ServicesInfrastructureTelecommunicationsWireless
Responsibilities
Architect, build, and scale a unified data platform integrating internal and external sources into data lakes and warehouses
Design and implement streaming and batch data pipelines using tools like Spark, Airflow, and DBT
Lead infrastructure provisioning using Terraform and Kubernetes, ensuring scalable and secure deployments
Evaluate and drive the migration to our North Star data architecture, aligning platform capabilities with long-term business goals
Collaborate with cross-functional teams to define logging standards, data contracts, and consumption patterns
Drive best practices in data governance, privacy compliance (GDPR, CCPA), and metadata management
Build APIs and data services to support real-time activation and client-facing data sharing
Participate in strategic architectural decisions and long-term data roadmap planning
Evangelize modern data Platform & engineering practices across the organization
Mentor junior engineers and contribute to hiring and team growth
Qualification
Required
15+ years of experience in software engineering with a strong focus on data systems and platform architecture
10+ years of experience building data solutions using data lakehouse architectures and self-serve data platforms that empower scalable analytics across teams
10+ years of hands-on programming experience with Scala, Go, Python, and SQL, building robust, high-performance data systems
5+ years of experience building scalable data solutions using Python, Spark, and Terraform
Proven experience building serverless and scalable ML infrastructure to support large-scale data processing, ideally in telecom or similarly high-throughput environments
Deep expertise in cloud-native data stacks (AWS, Databricks, Snowflake, BigQuery, Synapse)
Strong understanding of microservices architecture, event-driven systems (Kafka), and container orchestration (Kubernetes)
Experience building operational tools and defining best practices to improve operational efficiency and developer experience—including evaluating and adopting AI-based tools for engineering productivity
Experience with orchestration tools like Airflow or Prefect and transformation tools like DBT
Proficient in building and scaling APIs (REST/gRPC) for data access and activation
Built distributed Kafka pub/sub model for data ingestion pipeline with queue workers deployed on AWS ECS
Automated monitoring, disaster recovery, CI/CD supported with filebeat/cloudwatch serverless monitoring
Hands-on experience with data visualization and BI tools (Tableau, PowerBI, Cibe.dev)
Strong grasp of data governance, compliance frameworks, and secure data sharing practices
Experience applying AI/ML and LLMs to data products and predictive analytics
Exceptional communication and leadership skills in fast-paced environments
Preferred
Familiarity with front-end technologies and frameworks (e.g., React) is a plus
Benefits
Company paid healthcare
Flexible work arrangements
Company sponsored team-lunches and company retreats
Company
OXIO
OXIO is a telecom-as-a-service platform designed for brands and enterprises.
H1B Sponsorship
OXIO has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$59.63MKey Investors
ParaFi CapitalFinTech Collective
2022-03-16Series B· $40M
2020-11-17Series A· $13M
2020-09-18Series Unknown
Recent News
2025-09-30
2025-09-23
Company data provided by crunchbase