Data Architect

5 days ago


Seattle, Washington, United States Sogeti Full time
Job Summary

As a Data Architect at Sogeti, you will play a key role in designing and implementing cloud-based data strategies that drive business growth and innovation. You will work closely with clients to understand their data needs and develop scalable solutions that meet their requirements.

Key Responsibilities

Assist in designing multi-phased cloud data strategies, including crafting implementation roadmaps
Design and develop scalable data ingestion frameworks to transform various datasets
Serve as a subject matter expert in cloud platforms and contribute to the community
Deliver on technical project scope and demonstrate thought leadership at clients and internally
Gather technical requirements, assess client capabilities, and analyze findings to provide cloud solution recommendations and adoption strategies
Research, analyze, recommend, and select technical approaches for solving complex development and integration problems
Deeply involved in designing and deploying end-to-end solutions with cloud platforms' analytic services
Lead the creation of technology roadmaps based on gathered and prioritized business needs
Conduct and lead whiteboarding sessions, workshops, and project meetings in support of data-enabled solutions

Requirements

10+ years of IT experience with 6-8 years as Data Architect
Experience working within the consulting industry and in team settings
Strong analytical skills
Ability to work with clients independently, participate in architectural reviews, and advise on functional solutions
Experience in data architecture for large-scale and cloud-based applications
Experience in Snowflake, Azure SQL, AWS, GCP, and other cloud-based solutions, as well as migrating from on-prem to cloud systems
Working experience with version control platforms (e.g., Git), agile development, and DevOps concepts
Strong verbal and written communication skills
Experience implementing various data warehousing concepts, methodologies, and best practices
Hands-on experience in data modeling, data migration, and thorough knowledge of RDBMS concepts
Hands-on experience in query/procedure writing for multiple RDBMS
Understanding of performance tuning concepts on the cloud
Experience analyzing, building, and supporting large-scale applications
Understanding of business functionality of various applications and building dependency diagrams for database objects

Education

Bachelor's Degree in Computer Science, Computer Engineering, MIS, or related field.

What We Offer

Competitive base salary, 401(k) Savings Plan with 150% match up to 6%, medical/prescription/dental coverage, HSA, $12,000 in tuition reimbursement, and a 100% company-paid mobile phone plan.
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