Lead Consultant - Data Platforms & Architecture
New
3
3CloudData platforms
Remote - PhilippinesFull-TimeLead
SalaryCompetitive compensation package, salary, allowance, standard benefits including quarterly and annual performance-based cash bonus and other remuneration.
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Job Details
- Required Skills
- PythonSQLRESTful APIsData modelingPySpark
Requirements
- Experience leading small to medium technical teams, including work allocation, technical escalation, and support.
- Expertise designing and implementing logical and physical data models for cloud and hybrid data warehouse environments.
- Experience implementing data architectures for structured, semi-structured, and unstructured data.
- Experience with multiple full lifecycle data warehouse implementations.
- Understanding of data architectures for data integration processing.
- Experience with data modeling technologies such as ER/Studio, ER/Win, or similar.
- Experience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs.
- Python and SQL scripting skills, including SQL and PySpark.
- Cloud architecture skills, including the ability to translate requirements into data pipelines.
- API knowledge; preference is given to candidates who can create APIs.
- Experience with data profiling and creating source-to-target mappings.
- Ability to provision and configure Azure data service resources.
Responsibilities
- Lead small to medium technical teams, including allocating work and providing technical escalation and support.
- Represent the team in Agile ceremonies and client meetings.
- Design and implement logical and physical data models for cloud and hybrid data warehouse environments.
- Implement data architectures for structured, semi-structured, and unstructured data.
- Support data integration processing with appropriate data architectures.
- Create data profiles and source-to-target mappings.
- Provision and configure Azure data service resources.
- Build data pipelines from requirements.
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