Publié il y a 3 mois
Databricks Engineer (Contract)
@ Data Elephant
Calgary, Alberta
En bref
Data Elephant is hiring a contract Databricks Engineer to design, build and optimize data platforms on Azure Databricks for its clients. The work covers data pipelines, workload migrations, Delta Lake and Unity Catalog governance, with close client interaction. The role requires regular onsite work at a client location in Calgary.
Responsabilités :
- Design and build data pipelines on Azure Databricks using PySpark and SQL
- Migrate legacy data workloads to Azure and Databricks
- Implement Delta Lake patterns and Unity Catalog governance
- Optimize performance and cost of batch and streaming workloads
- Support client enablement through knowledge transfer and documentation
Résumé des exigences :
- 7+ years of data engineering experience
- 4+ years of hands-on Databricks production experience
- Strong PySpark and SQL pipeline development
- Proven leadership of large-scale data migrations
- Strong Microsoft Azure data services experience
- Consulting or professional services experience preferred
Outils et compétences
Source et dates
Site carrière / système de candidatures · bamboohr
- Date publiée par l’employeur
- 2026-07-27
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-30
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 7 an(s) et plus |
| Milieu de travail | Bureau, Chez les clients |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Data Elephant
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
A more human approach to modern Data, Analytics & AI services.
Description complète de l’entreprise
Data Elephant was founded in 2022 to fulfill a need in the Canadian market for a dedicated and full-stack data and analytics services firm. Our founders bring technology services experience from boutique and global consulting firms resulting in a unique engagement model and value proposition for our clients. Our approach is to bring the deep technical expertise, flexibility, and drive to prove value quickly of a boutique firm, and combine it with the strategic thinking, proven methodology, and cross-industry experience of a global firm. Our goal is to be our client's go-to Canadian partner for driving value and impact across the whole data stack.
- Abonnés LinkedIn
- 4 525
- Personnes associées sur LinkedIn
- 30
- Bureaux déclarés
- Vancouver, BC, CA
- Calgary, Alberta, CA
- Toronto, Ontario, CA
- Catégories d’activité
- Data Governance
- Data Integration
- Consulting
- Data Management
- Enterprise Software
- Business Intelligence
- Cloud Computing
- Cloud Infrastructure
- Machine Learning
- Artificial Intelligence (AI)
- Autres noms enregistrés
- Data Elephant
- Spécialités
- cloud
- dataengineering
- dataarchitecture
- analytics
- machinelearning
- datastrategy
- devops
- aws
- azure
- canada
- businessintelligence
- AI
- dataops
- datalake
- databricks
- snowflake
- sagemaker
- and synapse
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 0
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Data Elephant was founded in 2022 to fulfill a need in the Canadian market for a dedicated and full-stack data and analytics services firm. Our founders bring technology services experience from boutique and global consulting firms resulting in a unique engagement model and value proposition for our clients. Our approach is to bring the deep technical expertise, flexibility, and drive to prove value quickly of a…
| Champ | Valeur |
|---|---|
| Secteur | Data Infrastructure and Analytics |
| Taille | 11-50 employees |
| Siège social | Vancouver, BC |
| Type d’organisation | Privately Held |
| Fondée en | 2022 |
| Spécialités | clouddataengineeringdataarchitectureanalyticsmachinelearningdatastrategydevopsawsazurecanada |
| Offres sur Jobsy | 2 |
| Voir la page |
We are seeking an experienced Databricks Engineer to join our delivery team on a contract basis to design, build, and optimize modern data platforms on Azure Databricks. In this strategic role, you will work directly with both Data Elephant and client data and analytics teams, helping them migrate, modernize, and scale their data workloads while applying best practices in data engineering, security, ML, AI and data governance. This is a hands-on engineering role with strong exposure to architecture decisions, client interaction, and end-to-end delivery.
Responsibilities
- Play an integral project team role in the implementation of modern data platforms and architectures on Databricks (including ETL, workload migrations, and Unity Catalog).
- Design and implement data pipelines using Azure Databricks (PySpark, SQL)
- Build and optimize batch and streaming data workloads
- Migrate legacy data workloads to Azure + Databricks
- Implement Delta Lake patterns (medallion architecture, CDC, data quality)
- Integrate Databricks with Azure services such as ADLS, ADF, Azure Key Vault and DevOps/Github
- Optimize performance and cost (cluster sizing, job orchestration, query tuning)
- Collaborate with solution architects, analytics engineers, and client stakeholders
- Contribute to reusable accelerators, standards, and internal best practices
- Support client enablement through knowledge transfer and documentation
- Provide hands-on solution delivery, including guiding and working closely with client engineers and ensuring best practices.
- Implement governance models and Unity Catalog including data access, lineage, and security frameworks.
QUALIFICATIONS
- 7+ years of experience in data engineering.
- 4+ years of recent, hands-on experience building production solutions with Databricks, including advanced features such as Delta Lake, Unity Catalog, and MLflow.
- Strong experience developing data pipelines using PySpark and SQL.
- Proven experience leading large-scale data migrations, including ETL workloads and cloud platform migrations.
- Strong expertise with Microsoft Azure and experience working with Azure data services, including ADLS, Azure Data Factory (ADF), Synapse Analytics, Azure Key Vault, and Azure DevOps.
- Strong understanding of modern data architectures, including lakehouse, medallion architecture, and ELT/ETL.
- Experience implementing CI/CD practices for data workloads.
- Strong understanding of enterprise data governance, security, and compliance best practices.
- Excellent communication skills with experience working directly with client teams.
- Previous consulting or professional services experience is strongly preferred.
- Databricks and Microsoft Azure certifications are considered an asset.
Be part of Canada’s leading boutique consulting firm focused on Databricks and modern data platforms.
- Work on challenging, high-impact projects with mid-sized and enterprise clients across industries
- Collaborate with a senior, high-performing team that values speed, pragmatism, and client success.
This role requires regular onsite work at a client location in Calgary.
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