
Senior Data Architect
2 weeks ago
We're looking for a skilled data professional to drive our Data/AI Practice forward. This is an exciting opportunity to leverage your expertise in SQL, big data processing, and modern data platforms to make a meaningful impact.
Key Responsibilities:
- Develop and continuously improve data pipelines for large-scale structured and unstructured datasets using SQL and modern big data frameworks.
- Implement ETL/ELT processes, working closely with architects and governance leads to ensure data quality, lineage, and compliance.
- Apply big data processing concepts (e.g., partitioning, distributed compute, streaming/batch data flows) to optimize data workflows.
- Collaborate with cross-functional teams to design and build robust data models that meet business needs.
- Contribute to assessments and adoption of new vendor/platform solutions to drive innovation and efficiency.
Required Skills & Experience:
- Prior experience in leading data engineering projects from inception to delivery, with effective communication skills to convey complex ideas to non-technical stakeholders.
- Strong proficiency in SQL (queries, optimization, stored procedures), as well as fluency in data modeling principles.
- Solid understanding of big data processing (distributed computing, Spark, Kafka, Delta Lake concepts, data partitioning, schema evolution).
- Familiarity with cloud data ecosystems (Azure, AWS, or GCP).
- Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment.
Nice to Have:
- Experience with Microsoft Azure Fabric.
- Knowledge of data governance tools (e.g., Purview, Collibra) and data cataloguing concepts.
- Exposure to DevOps/MLOps practices (CI/CD, Git, automation tools).
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