Solution Architect, Sr

Entergy • New Orleans, LA

5d • Hybrid

About The Position

The Senior Solution Architect is an integral member of the product delivery teams, driving end-to-end technical designs for multiple projects to deliver analytic products to business customers. The Senior Solution Architect interacts with multiple customer stakeholders, understands their business and functional requirements and works with the product team to design and deliver technical solutions, leveraging the data analytics platform where possible. The Senior Solution Architect’s key knowledge set includes system agile development life cycle, integration architectures, technology tools, database architectures, data management principles, data modelling techniques and methodologies, communication and problem solving. The Senior Solution Architect will design large scale, enterprise wide data processing solutions, database schemas and interfaces to relational and non-relational databases. Additionally, the Senior Solution Architect will design small, temporary architectural solutions to support product delivery schedules should the enterprise data analytics platform be unavailable at the time the product must be delivered to a business customer. The Senior Solution Architect will act as a member of product teams, ensuring product team members understand the Senior Solution Architectures being designed and helps guide and oversee the implementation of solution architectures. The Senior Solution Architect will work closely with the IT department to ensure solution architectures will successfully operate in current technology environments. The Senior Solution Architect will work with other team members on the data analytics platform team to create plans and strategies for adopting new tools, technologies, and alternative solution architectures including leveraging the cloud.

Requirements

• Bachelor's degree
• 7+ years of data strategy, architecture related experience designing, architecting, and implementing big data solutions.
• 5+ years of experience: Big Data or ETL experience
• 5+ years of experience: Natural Language Processing (NLP)
• 5+ years of experience: Metadata tagging and link analysis
• 5+ years of experience: Experience with script and/or parser development to extract structured and unstructured data from files
• 5+ years of experience: Data warehousing, mining, analysis, self-service, or machine learning
• 5+ years of experience: Technologies such as Informatica, SQL programming and hands-on experience in Python, R, APIs, Spark, Python or Kafka
• 5+ years of experience: Big data technologies such as Cassandra, Hadoop, MapReduce, Hive
• 5+ years of experience: Data visualization tools such as PowerBI, Qlik and Tableau
• Experience with traditional ETL integration tools as well as more modern real-time messaging/integration platforms.
• Experience with relational database modeling concepts and modeling for the modern big data platform.
• Strong understanding of Operational, Relational, Analytical, Master, and Reference data models.
• Deep understanding of data transfer formats such as XML, JSON, and Avro.
• Understanding of Cloud technologies such as Microsoft Azure, Google Cloud, Amazon Web Services (AWS).
• Knowledgeable in tools used to identify and manage structured and unstructured data.
• Expert using data governance technologies such as Collibra or Informatica EDC.
• Strong communicator at the technical levels
• Strong, demonstrated writing and presentation skills
• Authorization to work in the United States is a precondition to employment in this position. Entergy will not sponsor candidates for work visas for this position.

Responsibilities

• Design conceptual data architectures solution for data-centric analytics projects.
• Analyze data sources, design and evaluate feasible technical solutions to be implemented by data engineers. The solutions might include database modeling and design, relational database architecture, metadata and repository creation and configuration management.
• Understand the complexity of data and design systems and models to handle different data sources/formats, which includes structured, semi-structured, and unstructured, as well as stream processing.
• Use data mapping, data mining and data transformational analysis tools to design and develop technical solution architectures.
• Prepare and maintain accurate solution design and architectural documentations for delivery, platform and operations team.
• Play a contributing role in the development and update of enterprise data architectural strategies, patterns, standards, processes and tools as new/unique data sources, use cases and requirements come up.
• Support and adhere to the development of data management policies, standards and procedures.
• Define integrated views of data drawing together data from across the enterprise, both in real-time and as extracts.
• Collaborate with platform and IT to as need to finalize the right solution including pattern and architecture for the analytics use cases.
• Address governance and security challenges associated with solutions.
• Support the delivery team engineers in tuning queries for performance and scalability, help them package deployments and collaborate with IT to migrate code between Development, Quality Assurance (QA), and Production environments.
• Support test automation, troubleshooting ETL job functionality, validating data, as well as create test data and table structures through use of SQL.
• Design and develop data pipelines or ETL processes.
• Must be able to work in an agile, rapid delivery environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior