All Together, Extraordinary www.adunaglobal.com At

Aduna

, we’re building the backbone of the global API economy. By connecting telecom operators, cloud platforms, and software innovators, we’re enabling the next generation of digital communication services. Behind those APIs sits data our teams must be able to trust: CAMARA API transaction data, operator (CSP) usage records, and cross-operator analytics that feed our BI, analytics, and ML. As our Senior Data Engineer, you will design our lakehouse from the first table onward, then build and operate the pipelines that run on it: ingestion, transformation, serving, quality, and governance. What This Role Is (and Is Not) This is a hands-on senior data engineering role with real architectural ownership. You will design the lakehouse and build it yourself. It is not a pure architect position, and there is no separate team to hand your designs to. If you want to write code every week and still own the blueprint, this is the seat. What You’ll Do Design the lakehouse architecture (medallion layers, table formats, storage layout, access patterns) and own it as it evolves. Build and operate the core batch and streaming pipelines that ingest, transform, and serve API usage and operator data. Set the data standards the rest of the company builds on: modeling, naming, metadata, and data contracts. Implement governance from day one: ownership, PII classification and handling, RBAC, retention, and auditability. Make data trustworthy: validation checks, SLOs for freshness, completeness, and latency, monitoring and alerting, and incident response with postmortems. Deliver curated, documented datasets that BI and ML teams can use without asking you how. What You Bring 6+ years of hands-on data engineering, with pipelines and data models you have designed, shipped,



and operated in production. Strong SQL and Python, with solid Spark experience. Experience designing a lakehouse or warehouse architecture on a cloud platform, and the ability to explain the tradeoffs behind it. A track record of end-to-end ownership: you have run data incident response, made cost and reliability tradeoffs on a cloud platform, and been accountable for datasets other teams depend on. Practical experience implementing data governance: metadata, lineage, access controls, and quality controls. ✨

Bonus Lakehouse/warehouse platforms (Databricks, Snowflake, or equivalent) and open table formats (Delta/Iceberg/Hudi). Streaming and event systems (Kafka or Kinesis; Spark Structured Streaming or Flink). Orchestration and transformation tooling (Airflow or Dagster; dbt). DataOps practices: CI/CD for data, automated testing, and IaC (Terraform or equivalent). ML data enablement (feature-ready datasets, lineage for ML inputs). Our Stack Cloud object storage (AWS/Azure), lakehouse/warehouse platform (Databricks/Snowflake or equivalent), Spark, SQL, Python, orchestration (Airflow/Dagster), streaming (Kafka), BI tools (Power BI/Tableau/Looker), CI/CD and Terraform. Why Join Aduna? Build technology

that impacts millions Work with

passionate, global teams Growth

in a

fast-moving, cutting-edge

environment Our Offer: Hybrid model

(3 days in our Montréal office) Competitive salary





+ full benefits (dental, medical, RRSP/DPSP) Unlimited PTO High ownership, collaboration, and room to grow By applying, you consent to the processing of your personal data for recruitment purposes. Privacy notice:

https://www.adunaglobal.com/privacy-notice/ Aduna is committed to a diverse and inclusive workplace and welcomes applicants from all backgrounds. Tous ensemble, extraordinaires Chez

Aduna

, nous construisons l’infrastructure de l’économie mondiale des API. En mettant en relation les opérateurs de télécommunications, les plateformes cloud et les innovateurs en matière de logiciels, nous rendons possible la prochaine génération de services de communication numérique. Derrière ces API se trouvent des données auxquelles nos équipes doivent pouvoir se fier: les transactions des API CAMARA, les données d’utilisation des opérateurs (CSP) et les analyses inter-opérateurs qui alimentent notre BI, nos analyses et notre ML. En tant qu’ingénieur(e) de données senior, vous concevrez notre lakehouse dès la première table, puis vous construirez et exploiterez les pipelines qui y reposent : ingestion, transformation, mise à disposition, qualité et gouvernance. Ce que ce rôle est (et n’est pas) Il s’agit d’un rôle d’ingénierie de données senior, résolument technique, avec une véritable responsabilité d’architecture. Vous concevrez le lakehouse et le construirez vous-même. Ce n’est pas un poste d’architecte pur, et il n’y a pas d’équipe distincte à qui transmettre vos conceptions. Si vous voulez coder chaque semaine tout en étant responsable du plan d’ensemble, ce poste est fait pour vous. Ce que vous ferez Concevoir l’architecture du la

📌 Senior Data Engineer: Lakehouse Architect (Winnipeg)
🏢 Aduna Global
📍 Winnipeg