Principal AWS/ Snowflake Cloud Data Architect
4 weeks ago
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 Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.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 provides businesses 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.
*You must be legally authorized to work in United States without the need of employer sponsorship, now or at any time in the future*
Roles & Responsibilities:
· Technology architecture & implementation experience with deep implementation experience with Data solutions
· 1520 years of experience in Data Engineering and 5+ Years Data Engineering Experience on cloud data engineering
· Technology presales experience – Architecture, Effort sizing, Estimation and Solution defense
· Data architecture patterns– Data Warehouse, Data Lake, Data Mesh, Lake house, Data as a product
· Develop or Co-develop proofs of concept and prototypes with customer teams.
· Excellent understanding of distributed computing fundamentals
· Experience working with one or more major cloud vendors.
· Deep expertise on End-to-End Pipeline (or ETL) development following best practices and including orchestration, Optimization of Data pipelines.
· Strong understanding of the full CI/CD lifecycle
· Large legacy migration (Hadoop, Terdata like) experience to Cloud Data platforms.
· Expert level proficiency in engineering & optimizing with various data engineering ingestion patterns - Batch, Micro Batch, Streaming and API
· Understand imperatives of change data capture with tools & best practices POV
· Architect and Solution Data Governance capability pillars supporting modern data eco system.
· Data services and various consumption archetypes including semantic layers, BI tools and AI&ML
· Thought leadership designing self-service data engineering platforms & solutions.
Core Platform – AWS & Snowflake
· Ability to engage and offer differing points of view to customers architecture using AWS and Snowflake platform.
· Strong understanding of the Snowflake platform including evolving services like Snowpark
· Implementation expertise using AWS services – EMR, Redshift, Glue, Kinesis, Lambda, AWS Lake formation and Snowflake.
· Security design and implementation on AWS & Snowflake
· Pipelines development in multi-hop pipeline architecture
· Architecture and Implementation experience with Spark and Snowflake performance tuning including topics such as cluster sizing.
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Applications will be accepted until 03 May /2024.
Salary and Other Compensation:
The annual salary for this position is between $[170, ,000] depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and 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.
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