Data Lake Architect

Public Partnerships LLC supports individuals with disabilities or chronic illnesses and aging adults, to remain in their homes and communities and “self-direct” their own long-term home care. Our role as the nation’s largest and most experienced Financial Management Service provider is to assist those eligible Medicaid recipients to choose and pay for their own support workers and services within their state-approved personalized budget.  We are appointed by states and managed healthcare organizations to better serve more of their residents and members requiring long-term care and ensure the efficient use of taxpayer funded services.

Our culture attracts and rewards people who are results-oriented and strive to exceed customer expectations.  We desire motivated candidates who are excited to join our fast-paced, entrepreneurial environment, and who want to make a difference in helping transform the lives of the consumers we serve.

Duties & Responsibilities:

• The Data Lake Architect will be responsible for providing the technology roadmap for enabling and supporting a concrete enterprise data lake strategy.

• This individual will be tasked with documenting the data lake architectural model and views that show how the current and future needs of the organization will be met with a successfully designed data lake solution.

• The role requires a skilled individual who can provide senior level knowledge to support Apache Spark, Docker, Kubernetes, MySQL, Redis, NoSQL, MongoDB, Prometheus, React, and Nginx.

• Engage with Customers and stakeholders in all phases of project life cycle – requirements gathering, solution design reviews, development, testing, UAT, delivery and support.

• Understand client reporting and data analysis requirements holistically from both current and prospective environment.

• Participate in discussions and drive discussions that bring clarity and details that can have positive influence on overall information quality.

• Deliver design solutions leveraging latest best practices Data Warehouse, Data Analytics and Azure Cloud platform.

• Evangelize across the team to adopt best practices, and continuously keep updated on latest technologies.

• Ensure the design proposal makes balanced tradeoff across schedule, cost, technology, security, and compliance requirements.

• Mentor team of peers ranging from database developers, analytical experts, and data integration/visualization engineers by providing technical & non-technical guidance to help them grow their skills, deliver quality implementations for successful completion of projects.

Required Skills:

• Develop data lake solutions that are built for performance, fault tolerance and security to ensure quality data is being ingested and utilized.

• Provide senior level knowledge to support Apache Spark, Docker, Kubernetes, MySQL, Redis, NoSQL, MongoDB, Prometheus, React, and Nginx.

• Support a large Microservices clustered environment with experience in adding and removing nodes, configure and tune the clusters and monitor the environment.

• Be able to support the current implementation and ongoing future enhancements to data lake infrastructure.

• Administer the data lake infrastructure utilizing Red Hat Linux and be able to perform the following:

1. Security setup

2. Configuration changes

3. Tuning

4. Troubleshooting

5. Monitoring

• Perform many data lake administrative functions across multiple servers that use the Microservices Architecture

• Define standards and techniques to guide architecture solution decisions for microservices architecture

• Must be hands on, deeply technical and exposure to latest features within data platform development, able to do both coding and system design/architecture activities.

• Excellent communication skills to interface with team members directly and proficient in all types of communication modes – Listening, Reading, Writing and Speaking

• Strong experience in Performance Tuning / Optimization Initiatives

• Ability to act independently to resolve issues

Qualifications:

Education:

High school diploma or equivalent experience required

Experience:

12+ years of relevant experience in architecting, design, and development of data lake systems (SQL Server based on Cloud/on premise and Analytics) at enterprise scale.

Python experience and capabilities to create Bash/shell scripts.

Experience with Apache Spark, Docker, Kubernetes, MySQL, NoSQL, MongoDB, Redis, React, and Nginx.

Experience with large Micro Services clustered environment.

Strong skills in security setup, configuration changes, tuning, troubleshooting, and monitoring.

Ability to define standards and techniques to guide architecture solution decisions for microservices architecture.

Excellent communication and leadership skills.

Experience working in Agile environments.

Certification:

Certifications Relevant certifications may include:

Microsoft Certified: Azure Developer Associate

Microsoft Certified: Azure Solutions Architect Expert

Microsoft Certified: Azure DevOps Engineer Expert

Microsoft Certified: Data Analyst Associate

Microsoft Certified: Azure Administrator Associate

Microsoft Certified: Azure Security Engineer Associate Security Clearance

WORKING CONDITIONS:

Remote office setting

The above is intended to describe the general contents and requirements of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive statement of all duties, responsibilities or skills of personnel so classified.

*Public Partnerships is an Equal Opportunity Employer dedicated to celebrating diversity and intentionally creating a culture of inclusion. We believe that we work best when our employees feel empowered and accepted, and that starts by honoring each of our unique life experiences. At PPL, all aspects of employment regarding recruitment, hiring, training, promotion, compensation, benefits, transfers, layoffs, return from layoff, company-sponsored training, education, and social and recreational programs are based on merit, business needs, job requirements, and individual qualifications. We do not discriminate on the basis of race, color, religion or belief, national, social, or ethnic origin, sex, gender identity and/or expression, age, physical, mental, or sensory disability, sexual orientation, marital, civil union, or domestic partnership status, past or present military service, citizenship status, family medical history or genetic information, family or parental status, or any other status protected under federal, state, or local law. PPL will not tolerate discrimination or harassment based on any of these characteristics. *

PPL does not discriminate based on race, color, religion, or belief, national, social, or ethnic origin, sex, gender identity and/or expression, age, physical, mental, or sensory disability, sexual orientation, marital, civil union, or domestic partnership status, protected veteran status, citizenship status, family medical history or genetic information, family or parental status, or any other status protected under federal, state, or local law.