CloudDataPlatformSolutionArchitect

Overview

Remote
$60 - $70
Contract - Independent
Contract - W2
Contract - 24 Month(s)
Able to Provide Sponsorship

Skills

Years of experience in SQL skills to create/maintain DB objects: Years of experience in query/load required data using data governance (e.g. business glossary
data dictionary
data catalogue
data quality
master data management
etc.): Years of experience in visualization tools to bring data literacy to the organization: Years of experience in workload management
monitoring
and performance tuning Apache Spark jobs: Years of experience with Machine Learning & MLOPs: Years of experience in healthcare Domain: Years of experience with Python: Years of experience in SQL: Years of experience with frameworks such as Django or Flask: Years of experience in database engineering
including SQL and NoSQL databases: Years of experience with front-end technologies such as HTML
CSS
JavaScript
and frameworks like React or Angular: Years of experience with cloud platforms (AWS
Azure) and containerization (Docker
Kubernetes):

Job Details

Job Description. : Cloud Data Platform Solution Architect

Location: 100% Remote

Duration: Long Term

Client Location: On Shore, US

Mode of work Client or office environment / may work remotely., Occasional evening and weekend

work.

Work Time Zone: EST or CST

About the job

Job Summary:

We re looking for a Solution Architect to join our product development team to drive a cloud-based data platform architecture that will power BI and advanced analytics.

You will have a direct impact on the design, architecture, and implementation of BI and data science use cases.

The ideal candidate will have industry-leading programming skills and established knowledge of implementing, designing, deploying, and maintaining big data analytics platforms in a cloud environment.

The solution architect will use knowledge of healthcare data to influence the implementation and governance of our data architecture. Your designs will account for data movement, storage, compute and BI consumption, and will comply with security and data governance standards. You will work closely with a variety of partners within the Data and Analytics organization.

Experience:

8+ years of overall experience in big data, database and enterprise data architecture and delivery

8+ years of programming proficiency in a subset of Python, Java, and Scala

5+ years of hands-on experience building solutions on distributed processing frameworks such as Spark, Hadoop or Databricks

5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms

3+ years of experience implementing cloud-based systems. AWS and/or Databricks preferred

Detailed Job Description

Roles & Responsibilities:

Reviews, analyzes and evaluates data/systems business requirements for existing and new development.

Documents technical and business specifications and functional needs and modifies existing requirements

Leads the data analysis and profile efforts for new client implementations and system enhancements.

Facilitates technical meetings with IT and business project team.

Provides data mappings, user interface specifications, processing logic as per business requirements to the Developer.

Communicates with clients, developers and other team members.

Tests development efforts and assists clients in user acceptance testing.

Cloud Data Platform Solution Architect

Creates and maintains a project plan, documents meeting notes and distributes to team.

Provides regular status reports to clients, developers, and management as needed.

Provides mentorship and guidance to junior Analysts on the team as needed.

Qualification & Experience:

Bachelor's degree with a preferred area of study in information technology, computer science, computer engineering or related fields.

10+ years of experience working with datasets with strong understanding on how data should be optimized within transactional, reporting, and big data architectures.

7+ years of experience in health care industry working with extensive amounts of healthcare data (claim and clinical sides) and major databases

8+ years of overall experience in big data, database and enterprise data architecture and delivery

8+ years of programming proficiency in a subset of Python, Java, and Scala

5+ years of hands-on experience building solutions on distributed processing frameworks such as Spark, Hadoop or Databricks

5+ years of experience architecting, developing, releasing, and maintaining enterprise data lake platforms

3+ years of experience implementing cloud-based systems. AWS and/or Databricks preferred

Technical Skills:

Strong SQL skills to create/maintain DB objects, query/load required data using data governance (e.g. business glossary, data dictionary, data catalog, data quality, master data management, etc.) and visualization tools to bring data literacy to the organization.

Practical experience on workload management, monitoring, and performance tuning Apache Spark jobs

Broad knowledge of data technologies, tools, and disciplines including data modeling, dimensional models, third-normal-form structures, ETL/ELT, change data capture and slowly changing dimensions

Experience with healthcare data is a big plus

Experience with Machine Learning & MLOPs is a big plus

Additional Qualifications

Strong presentation and written communication skills.

Strong client and internal team relationship management to understand personal perspectives and become a trusted advisor

Ability to develop professional relationships

Ability to be a high-impact player on multiple simultaneous engagements

Willingness to travel

Submission Details

Full Legal Name

Contact Number

Email ID

LinkedIn

Current Location

Last 4 digits of SSN

Flexible to visit client location once in a quarter

Certifications

Work Authorization

DL Copy or State ID Copy

Total IT Experience

US Experience

Skills Matrix (Mention in Years)

Years of experience in SQL skills to create/maintain DB objects:

Years of experience in query/load required data using data governance (e.g. business glossary, data dictionary, data catalogue, data quality, master data management, etc.):

Years of experience in visualization tools to bring data literacy to the organization:

Years of experience in workload management, monitoring, and performance tuning Apache Spark jobs:

Years of experience with Machine Learning & MLOPs:

Years of experience in healthcare Domain:

Years of experience with Python:

Years of experience in SQL:

Years of experience with frameworks such as Django or Flask:

Years of experience in database engineering, including SQL and NoSQL databases:

Years of experience with front-end technologies such as HTML, CSS, JavaScript, and frameworks like React or Angular:

Years of experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes):

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Thanks & Regards,

Peter James | Floga Technologies.

Sr. Talent Acquisition Specialist E: peter

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