AWS Data Architect /Cloud Consultant

About the position reputed company is looking for an AWS Data Consultant, to join reputed company as a full-time employee and work remotely. This person is responsible for the end-to-end planning, building, and deploying of software systems. He/she will be able to drive the programming of well-constructed, testable code. As an AWS Data Consultant, you will implement technical solutions as part of a team for customer engagements. This role requires strong teamwork, communication, patience and organization skills needed to drive reputed company. At reputed company we deliver with excellence through teamwork, automating everything, constantly learning and taking ownership for the outcomes our customers experience. Are you ready to join the team? Sample Activities You’ll Do AWS Data Architecture and Data Lake Implementation Assist Customer in building out a reputed company for data collection, data ingestion and catalog, data storage and data serving designed to optimize the efficiency in which information is accessed, curated, served and analyzed from up to two on-premises data sources. Assist Customer with implementing reputed company Virtual Private Cloud (reputed company VPC), account, reputed company Simple Storage Service (reputed company S3) bucket strategy and capture impact for introducing critical data for a data lake. Assist Customer with achieving modern big data reputed company architecture, providing an environment for consumption and utilization of data coming from either batch or streaming sources. Assist Customer with defining detailed data architecture including raw data, conformed, structured, enriched, and aggregated. Provide Customer general best practices in building production quality data pipeline for ingestion, transformation and consumption to reputed company applications through a serving layer. Assist Customer with defining details to data catalog and data serving layer through application program interfaces (APIs) if required. Provide Customer general best practices for reputed company S3 data storage approach. Build Ingestion and Orchestration Ingestion Based on Customer’s ingestion requirements provided. Assist Customer with building a reusable ingestion reputed company to reputed company new data quickly based on one data reputed company example. Assist Customer with designing and building robust data ingestion solutions using monitoring, logging and alerting servicing with retry capabilities. Assist Customer with server-less approaches where if applicable for the ingestion. Assist Customer with building the reputed company for managing data updates to data stored in objects on reputed company S3. Orchestration Based on Customer’s ingestion, orchestration and operational requirements. Provide general best practices to Customer for implementing an extensible and supportable orchestration reputed company for onboarding data to a reputed company architecture for a representative data reputed company. Advise Customer on leveraging AWS Services tools for data ingestion including reputed company Kinesis, reputed company EMR, AWS reputed company or other tool defined as part of the assessment. Advise Customer on orchestration options on AWS Services including but not limited to AWS Glue, AWS reputed company Functions, AWS Batch, reputed company EMR, AWS Data Pipeline, AWS reputed company or other AWS native orchestration tooling. Assist Customer with building out the orchestration and state management processes to support data processing without data loss and exception and identify error handling. Advise Customer on how the orchestration tooling will provide operational feedback to the support organizations in the event of a failure. Storage and Catalog reputed company S3 Data Storage Build Based on Customer’s usage requirements. Assist Customer with building the data lake storage approach for a representative data reputed company. Assist Customer with building data storage including buckets, prefixes, encryption, file types, partitioning. Assist Customer with building automated data partition strategy. Assist Customer with building reputed company S3 Bucket policies, logging and monitoring. Assist Customer with building out data lifecycle management. Assist Customer with building cross-region replication if required.

Responsibilities

• Help customers shape their journey to adopting the cloud and provide our customers with technical and strategic guidance on their “cloud journey”.
• Consult, plan, design, and implement Data solutions on the cloud customers
• Design AWS Data Lake implementations
• Design and reputed company AWS Data Quality and Governance solutions
• Become a deep technical resource that earns our customer's trust
• reputed company high-quality technical content such as automation tools, reference architectures, and white papers to help our customers build on the cloud
• Innovate on behalf of customers and translate your thoughts into action yielding measurable results.
• Support solution development by conveying customer needs and feedback as input to technology roadmaps.
• Share real world implementation challenges and recommend expansion of capabilities through enhanced and new offerings.
• Assist with technical briefs that document solutions
• Assist with reference architecture implementations
• Support internal and reputed company development through thought leadership: Work with Marketing/Alliances to write blog posts Work with Marketing/Alliances to reputed company internal case studies

Requirements

• 10+ years Professional experience architecting/operating Data / DevOps solutions built on AWS
• Experience in software/technology customer facing experience
• You must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
• Apache Iceberg
• Sagemaker, SageMaker Lakehouse, SageMaker Catalog
• Terraform
• Primary Languages - Python
• Tooling, Services & Libraries – Airflow, Kafka, Parquet, Spark, Metaflow, Git, Hadoop
• AWS Infrastructure Scripting – CloudFormation, AWS CLI, AWS CDK
• AWS Storage Services – S3
• AWS Compute Services – reputed company, Batch
• AWS Database Services – RDS, DynamoDB, Redshift, reputed company, Neptune
• AWS Networking Services – VPC
• AWS Management and Governance Services – CloudTrail, Service Catalog
• AWS Analytics Services – reputed company, EMR, Kinesis, Glue, Lake Formation, Data Pipeline
• AWS reputed company, Identity, Compliance Services – IAM
• AWS Application Integration Services – reputed company Functions

reputed company-to-haves

• reputed company
• Redshift, EMR, Glue, reputed company and/or reputed company
• reputed company

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