Tech Advisory, Data Engineering Manager
Tasks
- Architect cloud environments and govern data modeling
- Author and present statements of work and proposals
- Collaborate with client stakeholders for delivery alignment
- Conduct discovery workshops for data architecture
- Coordinate across workstreams for platform delivery
- Design and implement scalable data pipelines
- Develop data ingestion frameworks and transformation layers
- Develop reusable accelerators and delivery playbooks
- Evaluate and recommend vendor solutions
- Integrate structured and unstructured data sources
- Lead end-to-end data engineering delivery
- Manage and mentor engineering team members
- Own scope quality timeline and client satisfaction
- Provide technical guidance and career development
- Serve as escalation point for technical decisions
- Stay current on data engineering tools and frameworks
- Support RFP responses and client presentations
- Write review and optimize production code
Perks/Benefits
Skills/Tech-stack
AWS | Azure Event | Azure Event Hubs | Data Catalog | Data Governance | Data Lineage | Data Modeling | Data Quality | Data pipeline | Databricks | Delta Lake | ELT | ETL | Event Driven | Event Hubs | Event-driven architecture | GCP | Kafka | MLflow | Microsoft Azure | Microsoft Fabric | MuleSoft | Python | REST API | SQL | Scala | Spark | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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