Staff Data Platform Engineer (AWS/Python/Go)

Staff Data Platform Engineer

Company

OXIO

Conditions

6 days agoHead Remote; Canada; Montreal Office; New York City Office Hybrid Full Time Data Science Jobs by OXIO

OXIO OXIO is a Telecom-as-a-Service (TaaS) platform that enables companies to launch and manage their own mobile networks (MVNOs) using a cloud-native, API-first platform. It serves retailers, fintechs, device/IoT companies, celebrities/lifestyle brands, MVNOs, and network operators looking to embed or launch connectivity products without needing telecom expertise. New York, USA Funding Series B ($40T) Series A ($12T) Investors ParaFi Capital Daedalus Multicoin Capital Abstract Ventures Coinbase Ventures Projects Oxio BrandIQ Customer Engagement Platform BrandVNO® Mobile Phone About OXIO Founded in 2018, OXIO is described as the world's first Telecom-as-a-Service platform, offering a programmable, cloud-based, global one-network solution for the telecom ecosystem. Its core products include BrandVNO® (a no-code portal for building and managing custom mobile plans and MVNOs), BrandIQ (business intelligence and subscriber insights derived from first-party network data), and the OXIO Network (an autonomous, multi-carrier, cloud-based core network that blends carriers to eliminate roaming). OXIO serves a range of industries including retail, connected devices/IoT, lifestyle/celebrity brands, MVNOs, fintech, and wholesale network operators, with case studies including Circle K, Billpocket, and unnamed fintech and retail clients in Mexico. The company is led by CEO and co-founder Nicolas Girard, with a leadership team drawn from companies like Verizon, Google Fi, AT&T, and Uber, and is backed by investors including Ascend, Atlantico, Collab Capital, Monashees, Fintech.io, ParaFi, Unshackled VC, and DCG. OXIO has offices in New York City, Mexico City, and Montreal. View jobs by OXIO

Skills

Airflow Api Design Aws Aws Ecs Bigquery Ccpa Ci/Cd Cloudwatch Communication Compliance Data Architecture Databricks Data Governance Data Lakehouse Data Pipeline Dbt Filebeat Gdpr Go Grpc Jenkins Kafka Kubernetes Leadership Llm Machine Learning Mentorship Microservices Powerbi Predictive Analytics Python React Rest Scala Snowflake Spark Sql Synapse Tableau Terraform

About the Role

You will lead the design, development, and scaling of a modern data platform, shaping data infrastructure, driving governance, and building scalable APIs that power real-time and batch analytics. You will play a pivotal role in evaluating, designing, and migrating the organization toward a North Star data architecture that supports scalable, secure, and intelligent data operations across the enterprise. You will support analytics use cases across telecom networking, product intelligence, financial reporting, and internal/external data insights, and help build a comprehensive Customer 360 platform powered by ML models and behavioral data, enabling fraud detection, brand intelligence, and personalized customer engagement.

Requirements

• 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
• 10+ years of hands-on programming experience with Scala, Go, Python, and SQL
• 5+ years of experience building scalable data solutions using Python, Spark, and Terraform
• Proven experience building serverless and scalable ML infrastructure for large-scale data processing
• 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, including evaluating and adopting AI-based tools
• 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
• Familiarity with front-end technologies and frameworks (e.g., React) is a plus
• 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

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 the 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, 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 and engineering practices across the organization
• Mentor junior engineers and contribute to hiring and team growth

Benefits

• Stock option incentive program
• Company paid healthcare
• Flexible work arrangements
• Company sponsored team-lunches and company retreats

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