Lead Consultant in Data Architecture & Engineering
T
TASQData architecture
Only applicants based in the Philippines will be considered for this role, 5 PM to 2 AM Philippine TimeFull-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLMicrosoft AzureData modelingPySpark
Requirements
- Experience leading small to medium-sized technical teams, including task delegation, managing escalations, and supporting team members.
- Experience designing and implementing logical and physical data models for cloud and hybrid data warehouse environments.
- Experience developing data architectures that support structured, semi-structured, and unstructured data.
- Extensive experience managing full data warehouse project lifecycles.
- Strong understanding of data architecture principles for data integration.
- Proficiency with ER/Studio, ER/Win, or similar data modeling tools.
- Hands-on experience with Microsoft Azure Data Platform services, including Azure Data Lake Store, Azure Storage, Azure Synapse Analytics, Azure Data Factory, Azure SQL Database, and Logic Apps.
- Scripting skills in Python and SQL, and experience with PySpark.
- Skills in data profiling and developing source-to-target data mappings.
- Experience with cloud architecture and designing and building data pipelines.
Responsibilities
- Lead small to medium-sized technical teams, delegate tasks, manage escalations, and support team members.
- Represent the team in Agile ceremonies and client discussions.
- Design and implement logical and physical data models for cloud and hybrid data warehouse environments.
- Develop data architectures that support structured, semi-structured, and unstructured data.
- Manage full data warehouse project lifecycles.
- Design and build data pipelines based on project requirements.
- Provision and configure Azure data services.
- Develop source-to-target data mappings and perform data profiling.
- Make strategic technical decisions and mentor junior team members.
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