Lead Data Architect
2 weeks ago
As a Lead Data Architect, you will be responsible for designing automated, highly available, and elegant solutions for Big Data platforms focusing on Snowflake, Starburst/Trino/Presto, AWS Data Services and related products and technologies.
In general, you will be responsible for:
• Implementation of roadmap, architecture, and integration of services of the Snowflake platform
• Optimizing and automating day-to-day user administration repeatable tasks
• Identifying product improvement opportunities by staying deeply involved in product sustainment, innovation, and customer feedback.
• Enhancing and building user licensing and cost optimization solutions.
• Fostering and developing relationships with business/technical stakeholders, providing thought leadership, and asserting influence by driving projects to completion effectively and efficiently.
• Engaging and working collaboratively with partner teams across DPECP and TWDC in a manner that wins the trust and confidence of business and partner teams. Specifically:
o Understanding business needs and being able to translate them into clear and precise product specifications/features/capabilities to enable engineering development.
o Working with external technical partners and IA leaders to drive a prioritized development schedule, based on a complete and comprehensive understanding of business/technical needs and priorities.
o Driving consensus and getting buy-in from partner teams on the prioritization of engineering development activities.
• Partnering and collaborating closely with the engineering team to:
o Ensure understanding of our business deliverables and lead design discussions that align appropriately.
o Effectively manage sprints by setting realistic development goals based on analyzing
historical velocity and ensuring that engineering development stays on track.
o Identify issues and risks and drive mitigation actions, effectively escalating
roadblocks as needed
• Conducting market research and evaluation of COTS products. Fostering key industry and
academic partnerships according to the product roadmap.
• Creating, executing, and maintaining well-defined technical support processes and
procedures for Data Warehouse and Query Federation products.
• Drive engineering excellence through high availability, scalability, security, and automation.
• Motivated self-continuous learning and innovation
Basic Qualifications
• Expert level knowledge in the Snowflake Platform
• Understanding of large Data Warehouse of such as Snowflake, Teradata, Redshift or BigQuery
• Experience designing automated pipelines using AWS cloud technologies and data services
• Excellent English skills as they will frequently speak to our customers.
• Experience in database security architecture including row-level security, data encryption,
SSO, MFA (Multi Factor Authentication), etc.
• Proficient Linux server operating system administration
• Proficient in SQL
• 5+ years' experience writing SQL queries
• 2+ years in AWS cloud technology and data services
• 3+ years' experience in operating high availability systems
• Familiarity with data security and privacy regulations
• Comfortable with both technical and business responsibilities, you will be working with
engineers, data scientists, operations managers, and business masterminds to build
products and solve complex problems
• Excellent verbal and written communication. Compelling storytelling and presentation skills.
• A team player with vision, passion, discipline, and integrity
• Ability to work rapidly and efficiently in a fast paced and changing environment
Preferred Qualifications
• Experience administering a large-scale Data Warehouse
• Experience with orchestration tools like UC4 and Airflow
• Familiar with Query Federation solutions like Trino, Presto, Athena, and Starburst
• Familiar with BI (Business Intelligence) consumption tools like Tableau, Business Objects, SAS,
and MicroStrategy
• Skills in coding languages like Java and Python
• Experience deploying AWS Infrastructure with Terraform or similar
BS/MS degree in Computer Science, Engineering, Math, Statistics, or related fields
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