Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

Apply Offsite

Lead Azure Data Engineer/Architect ||

Job

McKinsol Consulting Inc

Fremont, CA (In Person)

Full-Time

Posted 6 days ago (Updated 3 days ago) • Actively hiring

Expires 7/12/2026

Review key factors to help you decide if the role fits your goals.
How is this calculated?
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
78
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

Senior/Lead Data Engineer Fremont, CA Hybrid (3 Days onsite a week)
Key Skills:
Sql, PySpark, Azure, Microsoft Fabric, ADF, and Databricks. About the
Role:
We are seeking a highly skilled and experienced Senior/Lead Data Engineer to join our dynamic team, working on challenging and multi-year data transformation projects. This is an excellent opportunity for a talented data engineer to play a key role in building innovative data solutions using Azure Native Services and related technologies. If you are passionate about working with large-scale data systems and enjoy solving complex engineering problems, this role is for you.
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