AWS Cloud Data Architect

Skill AWS Cloud Data Architect

Role Solution Architect

Roles and responsibilities

Solutioning lead for NA Data Engineering - AWS and Snowflake as primary stack

1) Architecture and Solutioning on AWS and Snowflake platforms - - data warehouse, lakehouse, data fabric and datamesh

2) Sizing , Estimation and Implementation plan for solutioning

3) Solution Prototyping, Advisory and orchestrating in-person/remote workshops

4) Work with hyperscalers and platform vendors to understand and test platform roadmaps and develop joint solutions

5) Own end-to-end solutions working across various teams in Cognizant - Sales, Delivery and Global solutioning

6) Own key accounts as Architecture advisory and establish deep client relationships

7) Contribute to practice by developing reusable assets and solutions

Required skills

1. Excellent verbal and written communication skills with ability to present complex Cloud Data Architecture solutions concepts to technical and executive audience (leveraging PPTs, Demos and Whiteboard)

2. Deep expertise in designing AWS and Snowflake

3. Strong expertise in handling large and complex RFPs/RFIs and collaborating with multiple service lines & platform vendors in a fast-paced environment

4. Strong relationship building skills and ability to provide technical advisory and guidance

5. Minimum 15 years experience as Solution Architect designing and developing data architecture patterns

6. Minimum 5-year hands-on experience in building AWS & Snowflake based solutions

7. Minimum 3 years experience as Solution Architect in pre-sales team driving the sales process from a technical solution standpoint

8. Bachelor s or Master s degree in computer science, engineering, information systems or a related field

1. Technology architecture & implementation experience with deep implementation experience with Data solutions

15~20 years of experience in Data Engineering and 5+ Years Data Engineering Experience on cloud data engineering

Technology pre sales 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

2. 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

3. 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

Gen-AI architecture patterns

Data Quality and Data Governance

Cloud Cost Monitoring and Optimization

The Cognizant community
We are a high caliber team who appreciate and support one another. Our people uphold an energetic, collaborative and inclusive workplace where everyone can thrive.

• Cognizant is a global community with more than 350, 000 associates around the world.
• We don t just dream of a better way - we make it happen.
• We take care of our people, clients, company, communities and climate by doing what s right.
• We foster an innovative environment where you can build the career path that s right for you.

About us
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U. S. , Cognizant (a member of the NASDAQ-100 and one of Forbes World s Best Employers 2024) is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www. cognizant. com

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