Senior M365 & IAM Platform Engineer at Aurobay developing hybrid engines and transmissions for a global market. Responsible for optimizing M365, Active Directory, and Entra ID environments with a strong focus on automation.
About the role
- Lead design and development of a scalable data platform for OXIO’s telecom-as-a-service. Building robust APIs and data systems while maintaining best practices in data governance.
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
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 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
- 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.
Benefits
- Competitive salary and stock option incentive program
- Company paid healthcare
- Flexible work arrangements
- Company sponsored team-lunches and company retreats
- International organization that enables you to work across boundaries, travel to different locations, and enjoy the dynamics of a rapidly growing startup
- A diverse and inclusive team.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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