Snowflake Manager
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Job Location:
Monthly Salary:
Posted on:
4 hours ago
Vacancies:
1 Vacancy
Job Summary
We are looking for an experienced Snowflake Manager to lead a high-performing team of data engineers own client relationships and drive end-to-end cloud data platform strategy. The ideal candidate brings deep expertise in Snowflake AWS and Python with hands-on experience across data lake and clean room architecture identity resolution ETL/ELT pipelines and MLOps. This role requires someone equally strong in technical leadership and people management setting direction delivering through teams and ensuring referenceable outcomes for stakeholders.
Key Responsibilities
- Directly manage a team of data engineers overseeing performance career development and team dynamics; leading multiple concurrent projects to scope timeline and quality; and delivering constructive feedback with support from senior leadership.
- Own client and stakeholder relationships within assigned accounts ensuring referenceable outcomes and managing nonstandard situations with senior support where needed.
- Design and implement Snowflake data warehouse architecture data lake and clean room frameworks including identity resolution strategies ID join logic and master lookup tables across heterogeneous data sources.
- Build and maintain core data tables and ETL/ELT pipelines from multiple source types (network device media/video) covering ingestion transformation and data quality validation.
- Architect AWS cloud data solutions (S3 Glue Kinesis Lambda Step Functions) including dev/prod environment setup CI/CD pipelines and workflow orchestration via Airflow or AWS-native services.
- Drive MLOps pipeline automation and platform reliability including Snowflake performance tuning storage optimisation capacity planning and onboarding of new data sources.
- Enforce data governance security and privacy standards across all pipelines including AWS IAM policies encryption and data quality controls.
- Collaborate with analysts product and business stakeholders to translate requirements into efficient data models and solutions.
Qualifications :
- 7 years of experience in Data Engineering or Data Platform roles with a track record of managing engineers and delivering at scale.
- Deep hands-on expertise in Snowflake architecture performance tuning data modeling warehouse setup and data lake / clean room design.
- Strong command of the AWS ecosystem (S3 Glue Lambda Kinesis Step Functions IAM CloudWatch) and proficiency in Python (Pandas PySpark) and SQL.
- Experience with ETL/ELT frameworks workflow orchestration (e.g. Airflow) CI/CD pipelines and entity identity resolution across disparate data sources.
- Familiarity with MLOps frameworks and pipeline automation for integrating machine learning workflows into data engineering pipelines.
- Excellent problem-solving communication and stakeholder management skills.
Additional Information :
- Background in network device or media/video data within a telecommunications ISP or media analytics environment.
- Experience with streaming technologies (Kafka / Kinesis).
- Exposure to the Snowflake AI and developer stack Snowpark Snowflake Cortex Snowflake Intelligence or other native ML/AI capabilities.
- AWS or Snowflake certifications.
Remote Work :
No
Employment Type :
Full-time
Key Skills
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
