Cloud Architect

AWS Architect – Cloud and Data Engineering Competency Center

Position: AWS Architect - Cloud and Data Engineering (CDE) Competency Center

Purpose of the Position: To provide client advisory, pre-sales, and practice development support for InfoCepts cloud and data engineering competency center. The position enables InfoCepts to meet its business goals by forging enduring practice initiated solutions, supporting delivery team with technical advisory and consulting, curating convincing proposals and providing future direction to the competency center through research.

InfoCepts provides end-to-end data & analytics solutions to commercial and public sector customers in various markets across the globe with a concentration in the US, EMEA, and the APAC regions. InfoCepts invests in four core competencies— Cloud and Data Engineering (CDE), Analytics and Data Management (ADM), Business Consulting (BC) and Service Management (SM)—to enable continued access to global markets and unmet needs. The position is responsible to build-out and roll-out solutions, lead advisory engagements, respond to proposals, develop & manage the center of excellence, lead technology roadmaps, in-house capability building, and market research activities.

Reporting to the Director of CDE Competency Center, the position works closely with sales, presales, marketing, delivery and other competency center teams. The position works with the competency team to execute on the assigned responsibilities.

Location: India

Travel: Up to 20% respecting public health guidelines in effect

Type of Employment: Full time

Position Type: Exempt

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 AWS Cloud 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:

Experience in 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. and Snowflake (good to have)

Knowledge of Big Data ecosystem such as Hadoop / Hive, HDFS, Spark, YARN and others

Experience with programming language 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. Experience with ETL tools like Informatica and Talend will be a plus

Knowledge of using IAM with other services

Knowledge of containerization services such as Dockers and its orchestration through Kubernetes

Proven ability to work on multiple requirements, design, and development approaches and methodologies (agile, iterative, waterfall, etc.)

Pre-sales experience will be an added advantage

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

Able to iterate based on new information, peer reviews, and feedback

Able to work with teams and clients in different time zones

Research focused mindset

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 14 years of IT experience; Minimum 4 - 6 years of experience on AWS related projects

Schedule: Full-time

Shift: Day Job

Travel: