Data Architect - Snowflake

Slalom Boise, ID

Company

Slalom

Location

Boise, ID

Type

Full Time

Job Description

Who You'll Work With

Slalom Emerge is a team of trailblazers helping ensure we achieve our strategic goals of investing for the future and pursuing innovation as a competitive advantage. We empower our local markets by identifying emerging capabilities, building multi-disciplinary teams, and providing access to niche and hyper-specialized expertise.

What You'll Do

• Lead initiatives to design and develop data architecture, data models, and standards for a variety of data warehouse and/or data integration projects, with a specific focus on Snowflake

• Develop and maintain documentation of the data architecture, data flow, data models, data dictionaries, and source to target mapping

• Design and develop scalable, reusable data ingestion frameworks to transform a variety of datasets

• Apply best practices for Snowflake architecture, ELT and data models

• Serve as a subject matter expertin cloud data architecture for the larger Slalom practice and contribute back to the community

• Deliver on the technical scope of projects & demonstrate thought leadership at clients as well as internally at Slalom

• Research, analyze, recommend, and select technical approaches for solving exciting and complex development and integration problems

• Develop multi-phased cloud data implementation roadmaps

• Travel up to 30-40% (regional)

What You'll Bring

• A passion for all things data; understanding how to work with it at scale, and more importantly, knowing how to get the most out of it.

• Deep data engineering and/or data warehousing experience

• Strong understanding of native Snowflake capabilities like data ingestion, data sharing, zero-copy cloning, tasks, Snowpipe etc.

• Demonstrated experience architecting, designing, and overseeing the implementation of a Snowflake Data Warehouse on AWS, GCP, or Azure Cloud

• Deep experience building cloud data solutions with (Azure, AWS, GCP, Snowflake) and migrating from on-prem to cloud

• Experience leading, managing and delivering complex cloud-based architecture engagements end-to-end

• Expertise in data modeling, with a good understanding of modeling approaches like Star schema and/or Data Vault

• Proficiency in a relevant programming language for cloud platforms e.g., Python, Java, C#, Unix or SQL

• Certifications are a plus; we love people who love to learn

  • Bonus:
    • Experience with data virtualization tools like Trino, Starburst, Denodo, Data Virtuality, etc.
About Us

Slalom is a modern consulting firm focused on strategy, technology, and business transformation. In 39 markets around the world, Slalom'steams have autonomy to move fast and do what's right. They are backed byregional innovation hubs, a global culture of collaboration, and partnerships with the world's top technology providers. Founded in 2001 and headquartered in Seattle, Slalom has organically grown to over 8,000 employees. Slalom has been named one of Fortune's 100 Best Companies to Work For five years running and is regularly recognized byemployees as a best place to work. Learn more at slalom.com.

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud it invest in benefits that include: meaningful time off and paid holidays, parental leave, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer additional benefits such as a yearly $350 reimbursement account for any well-being related expenses as well as discounted home, auto, and pet insurance.

Slalom is an equal opportunity employer that is committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans status, or any other characteristic protected by federal, state, or local laws.

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Date Posted

03/19/2023

Views

34

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