
Senior Data Solutions Architect
1 week ago
We are seeking a highly skilled Data Engineer to join our team. This is an exciting opportunity for individuals who are passionate about working with data, coding, and problem-solving.
The ideal candidate will have experience in designing, building, and maintaining scalable data pipelines using Microsoft Fabric, Azure Data Factory, and related Azure services.
Key Responsibilities:- Design and implement performance-optimized and secure data workflows, ensuring compliance with governance and quality standards.
- Collaborate with architects, analysts, data modellers, and business stakeholders to deliver robust data solutions.
- Participate in solution design and technical discussions to ensure scalable and secure data workflows.
- Engage effectively with technical and non-technical team members to ensure shared understanding of requirements and delivery expectations.
- Proven experience of more than 6 years in data engineering, data warehousing, and analytics projects, covering data ingestion, transformation, curation, and delivery.
- Strong knowledge of modern data file formats such as Delta Tables, Apache Iceberg, and Parquet.
- Proficiency in Python, Spark, Azure Data Factory, and other relevant data transformation tools and frameworks.
- Expertise in data modelling across conceptual, logical, and physical layers, with knowledge of Dimensional Modelling and Data Vault 2.0 methodologies.
- Experience with cloud data services, preferably within the Microsoft ecosystem, with exposure to AWS or GCP as an advantage.
- Hands-on experience with Microsoft Fabric, Databricks, and/or Snowflake.
- Skilled in data pipeline orchestration using Azure Data Factory and related frameworks.
- Experience with CI/CD pipelines and DevOps practices for automated deployment and integration workflows.
- Proficiency in Infrastructure as Code (IaC) tools such as Terraform or Bicep.
- Solid understanding of data governance, data management practices, and security considerations for cloud data platforms.
- Competence in database performance tuning, optimization, and advanced SQL development.
- Knowledge of design patterns, clean architecture, and clean coding principles for scalable data solutions.
- Familiarity with testing methodologies in data engineering, including unit, integration, and end-to-end testing.
- Mentorship: Ability to mentor and share knowledge with junior team members.
- Consulting Mindset: Adaptability in diverse situations and managing changing priorities.
- Communication: Strong skills in communicating clearly with team members and clients.
- Understanding of non-functional requirements, including performance, security, and data privacy.
- Passion for Data: Enthusiasm for working with data, coding, and problem-solving.
- Innovative Spirit: Drive to continuously improve and innovate pipelines and dashboards.
- AI Enthusiast: Interest in AI technologies such as Generative AI for self-augmentation and performance improvement.
This role offers a competitive salary and a range of benefits, including professional development opportunities and a dynamic work environment.
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