Vertical Relevance

Data Cloud Consultant, AWS

Vertical Relevance

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AirflowAmazon RedshiftApacheAWSCloudDynamoDBHadoopKafkaPythonSparkTerraform

About the role

  • 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 Develop AWS Data Quality and Governance solutions
  • Become a deep technical resource that earns our customer's trust
  • Develop 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
  • Assist with technical briefs that document solutions and reference architecture implementations
  • Support internal and external brand development through thought leadership (blog posts, internal case studies)
  • AWS Data Architecture and Data Lake Implementation: assist with data collection, ingestion, catalog, storage and serving, VPC and S3 strategy, lambda architecture design, data catalog and serving layer guidance
  • Build Ingestion and Orchestration: design reusable ingestion frameworks, server-less approaches, monitoring, logging, alerting, retry capabilities, orchestration using AWS Glue, Step Functions, EMR, Batch, Lambda
  • Storage and Catalog: build Amazon S3 data lake storage approaches, buckets, prefixes, encryption, file types, partitioning, lifecycle management, cross-region replication if required

Requirements

  • 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.
  • Must Have: Apache Iceberg Sagemaker, SageMaker Lakehouse, SageMaker Catalog, Terraform
  • Should Have: Athena, Redshift, EMR, Glue, DataBricks and/or Snowflake
  • Primary Languages - Python
  • Tooling, Services & Libraries – Airflow, Kafka, Parquet, Spark, Metaflow, Git, Hadoop
  • AWS Infrastructure Scripting – CloudFormation, AWS CLI, AWS CDK
  • Relevant AWS Services – S3, Lambda, Batch, RDS, DynamoDB, Redshift, Aurora, Neptune, VPC, CloudTrail, Service Catalog, Athena, EMR, Kinesis, Glue, Lake Formation, Data Pipeline, IAM, Step Functions