PPL Corporation Lead Data Architect/IoT Architect- Remote in Allentown, Pennsylvania
Lead Data Architect/IoT Architect- Remote
Leads projects, analyzes and solves complex problems, and recommends solutions in the below areas:
Defines cloud data platform products and usage patterns across data solutions e.g. Data Science Sandbox, ETLs, APIs, integration etc.
Collaboratively develops platform product principles (e.g. ETL, Databricks, etc.) and validates solutions architecture for adherence to principle and standards
Evaluates and identifies specifications, best practices, integration and proper use of cloud services as they relate to overall data platform
Partners with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives
Develop and implement strategies to translate business requirements and models into feasible and acceptable data warehouse designs to ensure that business needs are met
Work with business teams to determine which source systems are the best sources of Master Data for the Master Data Management system.
Ensures quality of master data in key systems, as well as, development and documentation of processes with other functional data owners to support ongoing maintenance and data integrity
Establishes and ensures adherence to enterprise data governance framework for data policies, standards and practices to achieve the required level of consistency, quality and protection
Improves data integration by designing and evaluating new data interchange formats, improving physical design, and rewriting data policy, standards, and procedures
Integrates data shared across legacy and new environments, by developing and modifying functions, programs, routines, and stored procedures to export, transform, and load data.
Advises, consults, mentors, and coaches other data and analytic professionals on data platform standards and practices
Develops and delivers communication and education plans on data products (ETL, Azure Data Factory, Databricks, etc.) standards, and processes
Assists in the evaluation, implementation and deployment of emerging tools and process for data solutions order to improve our productivity as a team
Assists in resolving integration issues, data quality problems collaborating with data analysts, subject matter experts (SMEs) and data stewards
Fosters a culture of sharing, re-use, design for scale stability, and operational efficiency of data platform
Reviews KPIs on the performance of the overall Data Platform e.g. data pipelines execution times, uptimes etc. and provides remediation guidance to teams
May be assigned an Electric Utilities emergency and storm role. This is a special assignment that comes into play during storms and other emergencies when the company needs to restore power or respond to other issues affecting customer service. This role may necessitate the need to work after-hours, outside of your normal schedule.
The Lead Data Architect is responsible for owning and providing the necessary strategic thought leadership, technical assurance, data integration, and data governance related to the development, evolution, and delivery of the enterprise information architecture domain as aligned to the business. The Lead level is recognized as an expert in own area within the organization and works independently, under minimal guidance from supervisor.
As a Lead Data Architect, you will develop and maintain the platform standards while working closely with multidisciplinary teams to validate solution design and work collaboratively to define/publish data product standards. This role requires deep understanding of Azure big data offerings, data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate should possess experience in both data engineering and cloud products. They are an agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.
The Lead level is recognized as an expert in own area within the organization and works independently, under minimal guidance from supervisor. Progression to Lead level is limited on the basis of business requirement.
Candidates must meet the basic qualifications and pass all required tests or assessments to receive consideration.
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility form upon hire.
The company reserves the right to determine if this position will be assigned to work on-site, remotely, or a combination of both. Assigned work location may change. In the case of remote work, physical presence in the office/on-site may be required to engage in face-to-face interaction and coordination of work among direct reports and co-workers.
Bachelor's degree and 7 years of related work experience OR 10 years of related work experience.
Experience with designing data platforms for user consumption across several user personas (Data Engineers, API, Data Scientists, Data Analysts etc.).
Knowledge of data related government regulatory requirements and emerging trends and issues.
Proven ability to prioritize and execute tasks.
Experience with data migration to cloud based environments.
Experience with developing solutions on cloud computing services and infrastructure in the data and analytics space.
Database development experience and experience with a variety of relational, NoSQL, and cloud database technologies.
Experienced knowledge of complex data structures and the ability enhance the data to be integrated across the enterprise.
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Understands business goals and strategic priorities.
Ability to work at an abstract level and gain consensus .
Promotes respect and can work effectively with diverse groups and environment.
Intellectually curious and willing to adjust position based on additional information.
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics.
Equal Employment Opportunity:
Our company is an equal opportunity, affirmative action employer dedicated to diversity and the strength it brings to the workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, national origin, protected veteran status, sexual orientation, gender identify, genetic information, disability status, or any other protected characteristic.
Regular or Temporary:
8+ years of experience working in an architecture role.
5+ years’ experience in providing data architecture solutions for Cloud applications.
Experience supporting fast-changing business organizations.
Full-time or Part-time:
As one of the largest investor-owned companies in the U.S. utility sector, PPL Corporation delivers on its promises to customers, investors, employees and the communities we serve. Our utilities - Western Power Distribution, Louisville Gas and Electric and Kentucky Utilities, and PPL Electric Utilities - provide an outstanding service experience for our customers, consistently ranking among the best in the United States and the United Kingdom. PPL has grown from a company with customers and facilities in one region of Pennsylvania to a diverse energy company with more than 10 million customers in the U.S. and the U.K. PPL provides energy for millions of customers while providing challenging and rewarding careers for thousands of employees around the U.S. and abroad.
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