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Looking for AWS Data Architect || Remote at Remote, Remote, USA
Email: [email protected]
Hi Folks,

I hope you are doing
well.

Please share your
interest in the below position.

Position: AWS Data Architect (healthcare or medical billing)

Location: Remote

This data architect
role will provide thought leadership for using data across the company. As a
key contributor to the Quest Data Transformation initiative, the Data architect
would work with Business / Technology teams to identify and chart the technology
and strategy roadmap to unlock value from enterprise data assets. The ideal
candidate will have hands-on experience in large-scale modern data warehouse
development and have had success leading cross-team technical discussions that
drive key decisions, operational efficiency, and build competitive advantage.
The architect would partner with Enterprise, Cloud, Application, and Digital
Architects and teams to provide solutions.

Key Responsibilities:

            Architect and design data solutions
that integrate enterprise, marketing, and streaming data, enabling advanced
analytics, real-time insights, and personalized customer experiences.

            Design and implement a scalable
data lake house using Snowflake Cloud, enabling efficient data storage,
processing, and analytics across structured, semi-structured, and unstructured
data sources.

            Develop data products,
infrastructure and data pipelines leveraging Matillion, AWS services (such as
Redshift, Kinesis, EMR, Lambda etc.)

            Analyze and validate data to ensure
high data quality for reliable insight

            Recognize and adopt best practices
in reporting and analysis: data integrity, test design, analysis, validation,
and documentation

            Collaborate with cross-functional
teams, including business stakeholders, data scientists, data engineers, and IT
teams, to define data requirements, identify opportunities, and deliver
high-quality data solutions.

            Participate in the definition of
future data management architecture, with alignment to value creation
opportunities across the business.

            Performing proof of concepts,
object-oriented analysis/design, assessing new technologies, identifying data
lineage, and performing complex data analysis and analytics

            Communicate the companywide
Architecture strategy and direction to both management and development teams.

            Stay current with new and emerging
technologies and make recommendations on their adoption.

            Understand compliance and risk
management requirements for supported areas.

            Design and implement data
governance policies and procedures.

            Develop strategies for business
intelligence, analytics, and enterprise reporting.

            Set design patterns for application
integration, data governance, and analytics development.

            Provide enhancement and
optimization with ETL/ELT process development and maintenance.

            Develop and implement data
migration strategies.

            Develop and maintain data
dictionaries, metadata repositories, and data lineage documentation.

            Stay up to date with emerging
technologies and trends in data architecture

            Proficiency in data formats such as
JSON, HL7, EDI, and XML

            Experience with API development and
integration using tools such as MuleSoft and REST APIs

            Excellent problem-solving and
analytical skills

            Strong communication and
collaboration skills with both technical and non-technical stakeholders.

Qualifications

            Bachelors or Masters degree in
computer science, Information Systems, or a related field

            Minimum of 8-10 years of experience
in data architecture with a minimum of 3-5 years of experience in healthcare
domain

            Strong hands-on experience with
Cloud databases such as Snowflake

            Experience in designing OLAP and
OLTP systems for efficient data analysis and processing.

            Familiarity with cloud-based data
storage solutions like Amazon S3 or Google Cloud Storage.

            Experience with multiple full
life-cycle data warehouse/transformation implementations in the public cloud
(AWS, Azure, and GCP)

            Experience with data modeling,
warehousing and building ETL pipelines

            Experience with big data
technologies such as: Hadoop, Hive, Spark, EMR

            Experience with Data warehouse
architecture and ETL integration (Snowflake, Postgres, Oracle, SQL Server,
Matillion ETL)

            Deep understanding of data
architectures that utilize Data Fabric, Data Mesh, and Data Products

            Business & financial acumen to
advise on product planning, conduct research & analysis, and identify the
business value of new and emerging technologies.

            Strong SQL and database skills
working with large structured and unstructured data.

            Strong familiarity with enterprise
reporting solutions (AWS QuickSight, PowerBI, and Tableau), data
virtualization, and semantic modeling

            Expertise in solution development
using No-SQL and SQL data platforms.

            System development lifecycle
(SDLC), Agile Development, DevSecOps, and standard software development tools
such as Git and Jira

            Excellent written and oral
communication skills to convey key choices, recommendations, and technology
concepts to technical and non-technical audiences.

            Infrastructure as Code (IaC)
technologies such as Azure Resource Manager (ARM) or Terraform

Preferred
Qualifications:

            Experience in the healthcare
industry, preferably focusing on clinical and billing data.

            Certification in AWS Cloud and
Azure Cloud is highly preferred.

Thanks, and Regards

Himanshu Sharma | Talent
Acquisition Specialist

Amaze Systems Inc.

USA:

8951
Cypress Waters Blvd, Suite 160, Dallas, TX 75019

D
: +1 (669)
305-7733

LinkedIn:
https://www.linkedin.com/in/sahab18/

E:
[email protected]
|
www.amaze-systems.com/

USA |
Canada | UK | India

Amaze Systems is an Equal
Opportunity Employer (EOE), and does not discriminate based on age, gender, religion,
disability, marital status, race and also adheres to laws relating to
non-discrimination on the basis of national origin and citizenship status.

--

Keywords: sthree information technology Texas
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Tue Feb 13 19:49:00 UTC 2024

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