- Independently lead client design workshops and provide tradeoffs and recommendations. This includes participating in pre-sales meetings, client visits, analyzing customer Big Data and Analytics solution requirements, and converge on a proposal which may be made of off the shelf, packaged software or SaaS solutions or architecting AWS native solutions ground up.
Key responsibilities may include:
- Independently lead client design workshops and provide tradeoffs and recommendations. This includes participating in pre-sales meetings, client visits, analyzing customer Big Data and Analytics solution requirements, and converge on a proposal which may be made of off the shelf, packaged software or SaaS solutions or architecting AWS native solutions ground up.
- Collaborate with account teams to help customers and partners learn and use
- AWS Data Ingestion mechanisms - Kinesis Firehose, DMS, S3 Transfers, Data Sync etc.,
- AWS Data Analytics services - EMR, Glue, Athena, Elastic Search, Kinesis, Managed Kafka, Redshift (DWH) etc
- AWS Data Visualization Services - QuickSight or third-party tools like Tableau
- AWS ML services - SageMaker
- AWS Cognitive Services - Rekognition, Comprehend etc
- Additionally, integrate services such as Redshift Spectrum, EMRFS, Lambda/Event Bridge for event driven architectures, CloudWatch for monitoring etc.
- Data Security using AWS services such as IAM, KMS, Secrets Manager, CloudHSM etc
- Must be familiar with data Ser/Deser techniques, JSON/Parquet/Avro/ORC and Apache Arrow file formats
- Working knowledge of Node.JS, Python is essential
- Business Case development focusing on TCO over commercial Hadoop offerings, DWH offerings with positioning of EMR, RedShift, Kinesis etc.
- Contribute to the Accenture AWS community and knowledge assets
- Provide solutions to complex business problems for area(s) of responsibility where analysis of situations requires an in-depth knowledge of customer organizational objectives.
- Set tactical and strategic direction to establish short and long term goals for area of responsibility.
Qualification
- Minimum of 5 years of experience with Amazon Web Services.
- 5-10 years of experience with any of the following technologies: Databases (SQL/NoSQL, MongoDB, Cassandra, MariaDB, PostgreSQL), Big Data open source tools (Hadoop, Spark), Big Data proprietary tools (Hortonworks, Cloudera) programing experience (Java, Python, R, Julia, SQL).
- Candidate must have at least 2 AWS Associate Certifications or 1 AWS Professional Certification or AWS Data Analytics Specialty certification
- Hands-on AWS experience with a minimum of 2 implementations (preferred in Enterprise scale environments)
Preferred Qualifications
- Bachelor's degree or equivalent
- Large scale project implementation experience required.
- Experienced AWS Cloud Architect with specialization in at least one of the following areas:
- AWS Cloud Strategy: Business Case development, application assessment and migration planning, Cloud Operating Model design
- Big Data: NoSQL data model design using DynamoDB and ANSI SQL usage for Redshift query development and query tuning, Adhoc querying with Athena, S3 Select etc.
