Cloud Architect AWS

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Key Result Areas and Activities:

Thought Leadership – Build and share experience and evidence based thought leadership in the AWS, Cloud and Big Data domain through various channels such as Yammer blogs, white papers, webinars, events, and conferences. Provide inputs on creating and enhancing enduring solutions for Practice.

Solutions and Sales Support – Support pre-sales activities including conducting discovery workshops, developing point of views/solutions/scoping, writing proposals, and supporting sales and marketing enablement for AWS, Cloud and Big Data related technologies. Lead the solution development for Practice.

Consulting for New and Existing Clients – Provide advisory consulting to new and existing customers, support delivery hand-offs, address unmet needs, and manage client expectations for their AWS, Cloud and Big Data technologies.

Share and Build Expertise – Develop and share expertise in AWS, Cloud and Big Data technologies and actively mine the experience and expertise in the organization for sharing across teams and clients in the firm. Lead and support the Data Engineering COE with organized meeting cadence. Create and maintain a vibrant Cloud technology lab as a hot bed of technological innovation. Suggest ways and guide the COE as a capability hub for new technologies with due consideration of their usability. Participate and contribute in other cloud and big data center of excellences.

Nurture and Grow Talent – Provide support for recruitment, coaching and mentoring, and building practice capacity in the firm in AWS, Cloud and Big Data technologies.

Work and Technical Experience:

Must Have:

Experience in the data and analytics domain.
Experience in designing AWS cloud architecture schema objects and operationalizing solutions around monitoring, alerting, logging etc.
In-depth knowledge of key AWS services for data integration, BI and processing services including but not limited to AWS EMR, AWS Data Pipeline, AWS Glue, AWS CloudSearch, Athena, AWS Lambda and AWS Kinesis.
Knowledge of AWS storage services such as Redshift, Dynamo DB, AWS ElastiCache, RDS, etc.
Knowledge of Big Data ecosystem such as Hadoop / Hive, HDFS, Spark, YARN and others
Experience with programming languages such as Python, Scala, and Java
Experience of enabling DevOps automation for AWS with appropriate security and privacy considerations
Knowledge of configuring and provisioning network and infrastructure on cloud
Expertise in developing ETL workflows comprising complex transformations like SCD, deduplications, aggregations, etc.
Knowledge of using IAM with other services
Knowledge of containerizations services such as Dockers and their orchestration through Kubernetes
Proven ability to work on multiple requirements, design, and development approaches and methodologies (agile, iterative, waterfall, etc.)

Good to Have:

Qualifications:

Bachelor’s degree in computer science, engineering, or related field (Master’s degree is a plus)
Demonstrated continued learning through one or more technical certifications or related methods
At least 15 years of IT experience; Minimum 5 - 8 years of experience on AWS related projects

Qualities:

Self-motivated and focused on delivering outcomes for a fast growing team and firm
Able to communicate persuasively through speaking, writing, and client presentations
Able to consult, write, and present persuasively
Able to work in a self-organized and cross-functional team

Years Of Exp

14 to 18 years

Location

India

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