3 дня назад
Data Solution Architect (Microsoft Analytics)
123 840 - 234 770$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Solution Architect (Microsoft Analytics): Designing and implementing scalable data engineering solutions with an accent on Microsoft Fabric, Synapse, Azure, SQL, Python, ETL, and dimensional modeling. Focus on building reliable data pipelines, optimizing analytics workloads, configuring hybrid Azure infrastructure, and integrating data assets with Power BI.
Location: Frisco, Texas, USA
Salary: $123,840–$234,770 per year
Company
Baker Tilly is an advisory, tax, and assurance firm providing professional services across the United States and through a global network of independent firms.
What you will do
- Design and implement scalable data engineering solutions using the Microsoft Analytics ecosystem.
- Develop and maintain data pipelines and ETL processes for structured and unstructured data.
- Create dimensional data models for analytics and reporting.
- Build data transformation and integration processes with Python, SQL, and dbt.
- Optimize data storage and retrieval for high-performance analytics workloads.
- Configure hybrid analytics workloads in Azure, monitor pipeline reliability, and integrate data assets with Power BI and other reporting platforms.
Requirements
- 10+ years of experience in data engineering.
- Expertise with the Microsoft Analytics stack, including Fabric, Synapse, SQL, SSAS, and SSRS.
- Strong proficiency in SQL, Python, data modeling, dimensional modeling, and ETL practices.
- Experience with data extraction patterns and ETL tools or frameworks such as dbt.
- Strong problem-solving, communication, and collaboration skills.
- Experience working in client-facing roles.
Nice to have
- Experience with Azure infrastructure, hybrid analytics workloads, networking, and security configurations.
- Azure engineering certifications, including Azure Data Engineer Associate or Azure Solutions Architect Expert.
- Experience with Azure DevOps or GitHub for repositories and deployments.
- Familiarity with machine learning workflows, Tableau or Qlik, and Agile methodologies.
Culture & Benefits
- Full-time employment.
- Comprehensive compensation and benefits package for eligible employees.
- Compensation reflects skills, experience, qualifications, certifications, work arrangements, and geographic location.
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