What are the responsibilities and job description for the Senior Data Architect | Local to CA | Hybrid position at McKinsol Consulting Inc?
Minimum 15 years Consulatnt
who has strong experience in MS Fabric, SQL & PySpark.
who has completed at least 1 full-scale implementation in Fabric.
Key Responsibilities:
- Data Engineering : Design, development, and implementation of data pipelines and solutions using PySpark, SQL, and related technologies.
- Collaboration: Work closely with cross-functional teams to understand business requirements and translate them into robust data solutions.
- Data Warehousing: Design and implement data warehousing solutions, ensuring scalability, performance, and reliability.
- Continuous Learning: Stay up to date with modern technologies and trends in data engineering and apply them to improve our data platform.
- Mentorship: Provide guidance and mentorship to junior data engineers, ensuring best practices in coding, design, and development.
Must-Have Skills & Qualifications:
- Minimum 12 years of overall experience in IT Industry.
- 8 years of experience in data engineering, with a strong background in building large-scale data solutions.
- 4 years of hands-on experience developing and implementing data pipelines using Azure stack experience (Azure, ADF, Databricks, Functions)
- 1-2 years of experience in Microsoft Fabric
- Some exposure/experience in SAP constructs is nice to have
- Proven expertise in SQL for querying, manipulating, and analyzing large datasets.
- Strong knowledge of ETL processes and data warehousing fundamentals.
- Self-motivated and independent, with a let s get this done mindset and the ability to thrive in a fast-paced and dynamic environment.
Good-to-Have Skills:
- Databricks Certification is a plus.
- Data Modeling, Azure Architect Certification