Blend360
Senior Manager of Data Engineering - Snowflake Practice
Blend360, Columbia, Maryland, United States, 21046
Company Description
BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.
Job Description THIS IS A CONTRACT TO HIRE OPPORTUNITY!
We are seeking an experienced Senior Data Engineering Manager with strong expertise in Snowflake 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 team's 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
Qualifications
Bachelor's 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
Preferred qualifications: Master's 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
Additional Information If you meet the qualifications and are excited about the opportunity to lead our data engineering team, we encourage you to apply for this position. We offer a competitive salary, comprehensive benefits, and a collaborative work environment that values innovation and continuous learning.
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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 team's 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
Qualifications
Bachelor's 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
Preferred qualifications: Master's 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
Additional Information If you meet the qualifications and are excited about the opportunity to lead our data engineering team, we encourage you to apply for this position. We offer a competitive salary, comprehensive benefits, and a collaborative work environment that values innovation and continuous learning.
#J-18808-Ljbffr