Solution Architect, Sr

About the role

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 role involves working with various customer stakeholders, understanding their business and functional requirements, and collaborating with the product team to design and deliver technical solutions.

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.
• 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.
• 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 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.

Requirements

• Minimum education required of the position: Bachelor's degree.
• Minimum Experience Required Of The Position: 7+ years of data strategy, architecture related experience designing, architecting, and implementing big data solutions. 5+ years of experience: Big Data or ETL experience, Natural Language Processing (NLP), Metadata tagging and link analysis, Experience with script and/or parser development to extract structured and unstructured data from files, Data warehousing, mining, analysis, self-service, or machine learning, Technologies such as Informatica, SQL programming and hands-on experience in Python, R, APIs, Spark, Python or Kafka, Big data technologies such as Cassandra, Hadoop, MapReduce, Hive, Data visualization tools such as PowerBI, Qlik and Tableau.
• Required Minimum knowledge, skills and abilities required of the position: 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.

Qualifications

Any Certificates, Licenses, Etc. Required For The Position: None.

Skills

• Strong communicator at the technical levels.
• Strong, demonstrated writing and presentation skills.

Benefits

N/A

Pay

N/A

Schedule

N/A