Data Engineering Manager

San Bruno, California, United States

Department: CTECH

Job posted on: Oct 09, 2024

Employee Type: Permanent

Experience range (Years): 8 years - 15 years

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities and support artificial intelligence initiatives, LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

Description:

Looking for Senior Manager-Data Engineering with 8 to 14 years of experience. As a Senior Manager of Data Engineering, you will be a key leader in designing, implementing, and overseeing the data architecture. You will play a critical role in ensuring data solutions are scalable, secure, and aligned with the organization's strategic goals. Your expertise will be crucial in guiding the team and collaborating with various stakeholders to drive innovation and deliver data-driven insights.

Responsibilities:

• Team Leadership: Lead, mentor, and inspire a high-performing team of data engineers. Provide technical guidance and support to team members, ensuring their professional development.
• Solution Design: Design and implement robust, scalable, and cost-effective data solutions on cloud platforms, encompassing data ingestion, storage, processing, and access layers.
• Project Management: Define project scope, timelines, deliverables and track project progress, and ensure timely completion.
• Stakeholder Management: Collaborate with business stakeholders to understand their data needs. Communicate project status, risks, and mitigation plans effectively to them.
• Technology Evaluation & Selection: Stay updated of new services and technologies, evaluate their potential, and make recommendations for adoption.
• Data Modeling & Design: Lead the design and implementation of dimensional data models (star schema, snowflake schema, etc.) to support efficient querying and reporting.
• Data Governance: Establish and enforce data governance policies, standards, and procedures to ensure data quality, integrity, and security.
• Performance Optimization: Proactively monitor and optimize data pipelines and queries for optimal performance and cost efficiency.
• Documentation: Create and maintain comprehensive documentation for data architectures, data models, and processes.

Skills:

• Leadership
• Solution Design
• Project Management
• Stakeholder Management
• Data Modeling & Design
• Performance Optimization
• Communication Skills
• ETL
• SQL

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, color, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.