
Lead Enterprise Data Architect
16 hours ago
Job Title: Lead Data Engineer
We are seeking a skilled professional to lead the design, development, and optimization of scalable data projects. This role will involve driving initiatives to improve the Data/AI Practice.
- Design, build, and optimize data pipelines for large-scale structured and unstructured datasets.
- Implement ETL/ELT processes using SQL and modern big data frameworks.
The ideal candidate will have hands-on experience with modern unified data platforms (e.g., Databricks, Snowflake) and exposure to Microsoft Azure Fabric.
Key Responsibilities:
- Collaborate 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).
- Support performance tuning, monitoring, and automation of data workflows.
- Build data modeling processes
- Contribute to assessments and adoption of new vendor/platform solutions (e.g., Azure Fabric).
Required Skills & Experience:
- Ability to lead data engineering projects from inception to delivery, harnessing effective communication skills to a non-technical audience
- Fluent understanding of data modeling to link data entities
- Strong proficiency in SQL (queries, optimization, stored procedures).
- 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).
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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