AWS Data & Analytics Cloud Consultant
Company: Vertical Relevance
Location: New York
Posted on: March 14, 2025
Job Description:
SummaryVertical Relevance is looking for an AWS Data & Analytics
Consultant to join our team 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 & Analytics 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 customer success.At Vertical Relevance, 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?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 for customers
- Design AWS Data Lake implementations
- Design and develop AWS Data Quality and Governance
solutions
- Become a deep technical resource that earns our customers'
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. 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 external brand development through thought
leadership:
- Work with Marketing/Alliances to write blog posts
- Work with Marketing/Alliances to develop internal case
studiesQualifications
- Professional experience architecting/operating data/DevOps
solutions built on AWS
- Experience in software/technology customer-facing roles
- 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.Sample Activities You'll DoAWS Data Architecture and
Data Lake ImplementationAssist customers in building out a
framework 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 customers with implementing Amazon Virtual Private Cloud
(Amazon VPC), account, Amazon Simple Storage Service (Amazon S3)
bucket strategy and capture impact for introducing critical data
for a data lake.
- Assist customers with achieving modern big data lambda
architecture, providing an environment for consumption and
utilization of data coming from either batch or streaming
sources.
- Assist customers with defining detailed data architecture
including raw data, conformed, structured, enriched, and
aggregated.
- Provide customers general best practices in building production
quality data pipeline for ingestion, transformation, and
consumption to downstream applications through a serving
layer.
- Assist customers with defining details to data catalog and data
serving layer through application program interfaces (APIs) if
required.
- Provide customers general best practices for Amazon S3 data
storage approach.Build Ingestion and Orchestration IngestionBased
on customers' ingestion requirements provided. Assist customers
with building a reusable ingestion framework to onboard new data
quickly based on one data source example.
- Assist customers with designing and building robust data
ingestion solutions using monitoring, logging, and alerting
servicing with retry capabilities.
- Assist customers with server-less approaches where applicable
for the ingestion.
- Assist customers with building the framework for managing data
updates to data stored in objects on Amazon S3.OrchestrationBased
on customers' ingestion, orchestration, and operational
requirements. Provide general best practices to customers for
implementing an extensible and supportable orchestration framework
for onboarding data to a lambda architecture for a representative
data source.
- Advise customers on leveraging AWS Services tools for data
ingestion including Amazon Kinesis, Amazon EMR, AWS Lambda or other
tools defined as part of the assessment.
- Advise customers on orchestration options on AWS Services
including but not limited to AWS Glue, AWS Step Functions, AWS
Batch, Amazon EMR, AWS Data Pipeline, AWS Lambda or other AWS
native orchestration tooling.
- Assist customers with building out the orchestration and state
management processes to support data processing without data loss
and exception and identify error handling.
- Advise customers on how the orchestration tooling will provide
operational feedback to the support organizations in the event of a
failure.Storage and Catalog Amazon S3 Data Storage BuildBased on
customers' usage requirements. Assist customers with building the
data lake storage approach for a representative data source.
- Assist customers with building data storage including buckets,
prefixes, encryption, file types, and partitioning.
- Assist customers with building automated data partition
strategy.
- Assist customers with building Amazon S3 Bucket policies,
logging, and monitoring.
- Assist customers with building out data lifecycle management.
- Assist customers with building cross-region replication if
required.Relevant Technical Tools
- Primary Languages - Python, Bash
- Tooling, Services & Libraries - Airflow, Kafka, Parquet, Spark,
Metaflow, Git, HadoopRelevant AWS Services
- AWS Infrastructure Scripting - CloudFormation, AWS CLI, AWS
CDK
- AWS Storage Services - S3
- AWS Compute Services - Lambda, Batch
- AWS Database Services - RDS, DynamoDB, Redshift, Aurora,
Neptune
- AWS Networking Services - VPC
- AWS Management and Governance Services - CloudTrail, Service
Catalog
- AWS Analytics Services - Athena, EMR, Kinesis, Glue, Lake
Formation, Data Pipeline
- AWS Security, Identity, Compliance Services - IAM
- AWS Application Integration Services - Step FunctionsThe
CompanyVertical Relevance was founded to help business leaders
drive value through the design and delivery of effective
transformation programs across people, processes, and systems. Our
mission is to help firms at any stage of their journey develop
custom solutions for success and growth. We provide a full range of
services from strategy and design through to implementation and
training. Our collective industry expertise is our greatest asset -
our professionals have an average of 20+ years' experience within
Financial Services, across Wealth Management, Asset Management,
Insurance, and Banking. Within our Customer Experience practice, we
add complementary industry expertise (technology and media)
synergizing the most relevant and successful customer trends. We
focus wholly on your success by first rigorously assessing your
business and technology challenges, and then right-sizing solutions
that provide a meaningful ROI. With our industry experts hitting
the ground running and focusing on nimble, quality delivery, we can
see rapid, tangible improvements with our clients in productivity
and effectiveness. When it makes sense for your company, we
leverage our product partnerships in the areas of CRM, Sales
Acceleration, Predictive Analytics, Digital Knowledge Management,
and Cloud Transformation.Vertical Relevance is an equal opportunity
employer. All qualified applicants will receive consideration for
employment without regard to sex, gender identity, sexual
orientation, race, color, religion, national origin, disability,
protected Veteran status, age, or any other characteristic
protected by law.
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Keywords: Vertical Relevance, New York , AWS Data & Analytics Cloud Consultant, Professions , New York, New York
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