Lead Data Architecture & Engineering Consultant
T
TASQData architecture
We can only accept applicants based in the Philippines, The work schedule is from 5pm to 2am.Full-TimeLead
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLMicrosoft AzureData modelingPySpark
Requirements
- Demonstrated experience leading small to medium technical teams, including task allocation, technical escalation, and team support.
- Expertise designing and deploying logical and physical data models for cloud and hybrid data warehouse environments.
- Experience developing data architectures for structured, semi-structured, and unstructured data.
- Hands-on experience with full-lifecycle data warehouse projects.
- Knowledge of data architecture principles for data integration.
- Familiarity with ER/Studio, ER/Win, or similar data modeling tools.
- Proficiency with Microsoft Azure Data Platform services, including Azure Data Lake Storage, Azure Storage, Azure Synapse Analytics, Azure Data Factory, Azure SQL Database, and Logic Apps.
- Python and SQL scripting expertise, with experience in SQL and PySpark.
- Experience with data profiling and source-to-target data mappings.
- Ability to provision and configure Azure data services and translate requirements into data pipeline solutions.
- API development knowledge is preferred.
Responsibilities
- Lead small to medium technical teams, allocate tasks, handle technical escalations, and provide support.
- Represent the team in Agile ceremonies and client meetings.
- Make technical decisions and mentor junior team members.
- Design and deploy logical and physical data models for cloud and hybrid data warehouse environments.
- Develop data architectures for structured, semi-structured, and unstructured data.
- Deliver full-lifecycle data warehouse projects and support data integration processes.
- Profile data and create source-to-target data mappings.
- Provision and configure Azure data services.
- Translate requirements into data pipeline solutions.
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