Technical Lead – Cloud Data Warehouse

Job not on LinkedIn

🕒 April 1

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Logo of Massive Insights

Massive Insights

11 - 50 employees

🤝 B2B

🤖 Artificial Intelligence

🧘 Wellness

B2B • Artificial Intelligence • Wellness

Massive Insights is a data analytics consultancy that specializes in helping organizations leverage data to make better decisions and achieve transformational impact. Founded in 2012, the company provides end-to-end support in areas such as marketing optimization, customer experience personalization, business intelligence, and advanced analytics, with a particular focus on data strategy and platform modernization. Massive Insights is committed to empowering their clients across various industries, including retail, wellness, and telecommunications, and has set an ambitious goal to positively impact 1 billion lives by 2032 through its mission-driven focus on health and wellness. Their expertise spans multiple sectors, but they have a strong emphasis on health, wellness, and security, privacy, and compliance in regulated industries.

📋 Description

• Supervise team activities including work scheduling, technical direction, and standard development practices; • Assist in the delivery of cloud-based data warehouse, lake, and mart solutions • Understand data landscape i.e. tooling, tech stack, source systems etc. and work closely with client technology teams to improve data collection, quality, reporting and analytics capabilities • Design, document, and implement data warehouse strategies, including building ETL, ELT, and Data Pipeline processes • Develop processes for loading and transforming of large volumes of structured and semi-structured data • Responsible for data architecture, data modeling and data governance to implement high-performance, highly secure solutions • Participate in data warehouse development by defining metadata and security standards • Perform a variety of tasks to facilitate completion of projects including but not limited to coordinating communication with outside departments, writing documentation and specifications, testing, and consulting • Mentor less experienced team members • Support pre-sales and solution engineering activities

🎯 Requirements

• 10+ years experience in data warehouse, data modeling, ETL, BI projects • 5+ years experience working in client-facing, consulting role • 3+ years hands-on experience with Snowflake cloud data warehouse • 3+ years hands-on experience in python development and ETL tools (Matillion, Talend, etc) • 3+ years experience leading technical team of data engineers and architects • Completed cloud warehouse projects in at least 2 of AWS, Azure, GCP cloud technologies • Maintain and achieve technical cloud certifications (AWS, Azure, or Snowflake) • Ability to work and communicate with both business and technical experts • College or University degree in Computer Science, Mathematics, Data Science and/or relevant degree

🏖️ Benefits

• Fully employer paid health and dental benefits • Hybrid work location (remote and/or office option available)

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