Lead Data Architecture & Engineering Consultant
New
T
TASQ Staffing SolutionsData architecture
Source API remote eligibility restrictions: United StatesFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- At least 5 years of relevant experience and at least 4 years of relevant leadership experience is needed.
- Required Skills
- PythonSQLAzureData modelingPySpark
Requirements
- Have at least 5 years of relevant experience.
- Have at least 4 years of relevant leadership experience.
- Have experience leading small to medium technical teams, including task delegation, technical escalation, and team support.
- Have experience designing and implementing logical and physical data models for cloud and hybrid data warehouse environments.
- Have experience developing architectures for structured, semi-structured, and unstructured data.
- Have hands-on experience with full-lifecycle data warehouse projects and data integration processes.
- Be proficient with data modeling tools such as ER/Studio, ER/Win, or similar.
- Be familiar with Azure Data Lake Storage, Azure Blob Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs.
- Have experience with data profiling and source-to-target data transformation mapping.
- Have Python, SQL, and PySpark scripting skills and general cloud architecture skills.
- Be able to provision and configure Azure data services.
- Microsoft Fabric and API creation skills are preferred.
Responsibilities
- Lead small to medium technical teams by delegating tasks, handling technical escalations, and providing 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.
- Develop data architectures that support structured, semi-structured, and unstructured data.
- Contribute hands-on to full-lifecycle data warehouse projects.
- Apply data architecture knowledge to data integration processes.
- Profile data and map source-to-target data transformations.
- Provision and configure Azure data services.
- Translate requirements into data pipeline solutions.
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