Senior Engineering Manager Snowflake & MLOps
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Job Location:
Columbia, IN - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
We are seeking an experienced Senior Engineering Manager with strong expertise in Snowflake and MLOps to lead our data engineering team. The ideal candidate will have a solid understanding of Snowflake architecture design implementation and optimization to drive our data warehouse initiatives. The Data Engineering Manager will be responsible for overseeing the day-to-day operations of the team managing and mentoring team members and ensuring the successful delivery of data engineering projects.
Responsibilities:
Lead the data engineering team in the design development and maintenance of our Snowflake data warehouse
Collaborate with cross-functional teams to identify data requirements and ensure the accuracy and completeness of data pipelines
Develop and implement best practices for Snowflake architecture data modeling and ETL processes
Work with data analysts and business stakeholders to understand their needs and translate them into technical requirements
Manage the teams resources including hiring training and performance management
Continuously evaluate and improve our data engineering processes tools and technologies
Ensure compliance with data security and privacy regulations
- Deploy monitor and maintain ML models in production using AWS SageMaker Lambda ECS and related services.
- Build and maintain automated ML pipelines for data processing model training evaluation and deployment.
Qualifications :
Bachelors degree in Computer Science Information Technology or related field
At least 8 years of experience in data engineering with a minimum of 2 years experience in Snowflake data platform and data warehouse
4 years of experience managing a team of data engineers.
Strong knowledge of Snowflake architecture design and optimization techniques
Experience leading a team of data engineers and managing project timelines
Ability to work collaboratively with cross-functional teams and stakeholders
Familiarity with cloud-based data platforms such as AWS Azure or Google Cloud.
Proficient in SQL Python and other programming languages.
Excellent communication skills both written and verbal
Familiarity with data security and privacy regulations such as GDPR and CCPA
- Strong knowledge of AWS services: SageMaker EC2 S3 Lambda ECS IAM and VPC.
- Experience developing deploying and scaling machine learning models in production.
Preferred qualifications:
Masters degree in Computer Science Information Technology or related field
Snowflake Certification(s)
Experience with cloud-based data warehousing solutions such as AWS Redshift or Google BigQuery
Familiarity with agile development methodologies
Exposure to Snowflake Cortex and Iceberg
Remote Work :
Yes
Employment Type :
Full-time
Key Skills
- Data Center Experience
- ArcGIS
- Cloud Infrastructure
- Construction Estimating
- Go
- Mathcad
- React
- Redux
- AWS
- Software Development
- Auto Estimating
- Distributed Systems
About Company
Blend360 is an award-winning provider of data, analytics, and talent solutions for Fortune 500 companies. The company has made the Inc. 5000 list of Fastest Growing Companies every year they have been in business and has been awarded a world-class ranking in client satisfaction for th ... View more
