Senior Data Architect

3 weeks ago

San Bruno, California, United States LatentView Analytics Full time
Job Summary

We are seeking a highly skilled Senior Data Engineer to lead our data architecture team. As a key member of our organization, you will be responsible for designing, implementing, and overseeing our data solutions. Your expertise will be crucial in guiding our team and collaborating with stakeholders to drive innovation and deliver data-driven insights.

Key Responsibilities
  • Team Leadership: Lead, mentor, and inspire a high-performing team of data engineers, providing technical guidance and support to ensure 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, and deliverables, and track project progress to ensure timely completion.
  • Stakeholder Management: Collaborate with business stakeholders to understand their data needs, communicating project status, risks, and mitigation plans effectively.
  • Technology Evaluation & Selection: Stay updated on new services and technologies, evaluate their potential, and make recommendations for adoption.
  • Data Modeling & Design: Lead the design and implementation of dimensional data models 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.
Requirements
  • Proven experience as a Data Engineering manager with a track record of successfully designing and implementing ETL/ELT data pipelines and systems.
  • Exceptional communication and presentation skills to interact with both technical and non-technical stakeholders.
  • Experience in SQL proficiency, specifically on Google Big Query is a plus.
  • Proficiency in programming languages such as Python/pySpark is a plus.
  • Strong knowledge of data warehousing and data modelling concepts.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
  • Familiarity with Google Cloud Platform (GCP) services is an advantage.
  • Knowledge of data governance, data security, and compliance practices.
  • Certifications in relevant technologies (e.g., AWS, Azure, Google Cloud, Snowflake) will be beneficial.
About Us

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. We are committed to creating a workplace that is free from discrimination and harassment, and where everyone has the opportunity to succeed.

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