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Snowflake Migration Data Architect -Remote

Cognizant Technology Solutions
San Francisco, CA, United States
$88K-$135K a year
Remote
Full-time

This remote position is open to any qualified applicant in the United States.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Practice - AIA - Artificial Intelligence and Analytics

About AI & Analytics : Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses.

By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need.

Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies!

By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant's AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information.

Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.

Job Discription :

The Snowflake Migration Data Architect for leading the migration of databases to the Snowflake platform. This role involves designing, implementing, and optimizing data migration strategies to ensure seamless transitions with minimal disruption.

Key responsibilities :

  • Migration Planning : Develop comprehensive migration plans tailored to customer needs, ensuring a smooth transition from on-premises database environments to Snowflake
  • Technical Leadership : Act as the technical expert for all aspects of Snowflake during implementation, guiding customers through the migration process
  • Data Architecture : Design and optimize Snowflake's logical, conceptual, and physical data models
  • Performance Tuning : Implement performance tuning and database optimization techniques to ensure efficient data processing.
  • Collaboration : Work closely with customers, system integrators, and internal teams to understand requirements and deliver robust solutions.
  • Documentation : Create detailed documentation and presentations to share learnings and best practices.
  • Continuous Improvement : Collaborate with all stakeholders & lead the migration solution

Qualifications :

  • Minimum 10+ years of experience in data management solutions, with hands-on experience in migrating databases
  • Proficiency in SQL, Unix Shell / Python scripting, and performance tuning
  • Experience with AWS / Azure and Snowflake's features like RBAC controls, scalable virtual warehouses, and cost optimization.
  • Experience designing and building automated monitoring processes and data pipelines. ensures that data can be moved and processed efficiently
  • Experience developing stored procedures and writing queries to analyze and transform data.

Salary and Other Compensation :

Application will be accepted until November, 17th, 2024.

The annual salary for this position is between $88,000-$135,000 USD depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant's discretionary annual incentive program and stock awards, based on performance and is subject to the terms of Cognizant's applicable plans.

Benefits : Cognizant offers the following benefits for this position, subject to applicable eligibility requirements :

  • Medical / Dental / Vision / Life Insurance
  • Paid holidays plus Paid Time Off
  • 401(k) plan and contributions
  • Long-term / Short-term Disability
  • Paid Parental Leave
  • Employee Stock Purchase Plan

Disclaimer : The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

CB #Ind123

20 hours ago
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