Salary
💰 $170,000 - $190,000 per year
Tech Stack
AWSCloudETLJavaJavaScriptLinuxNode.jsPythonScalaShell ScriptingSQL
About the role
- The Specialist Enterprise Architecture will support technology for WFG (World Financial Group) and is focused on the design and development of modern architectures to enable a data-driven digital business. Define data strategies, grow capabilities, and develop the enterprise data platform by providing technology leadership, insight on new developments within the architecture space, and guidance in architectural and design decisions.
- Job Description Responsibilities: Serve as a subject matter expert and lead development programs and projects. Work collaboratively with other architects, data scientists, analytics teams, and business product owners in an agile environment. Architect, build, and support the operation of Cloud and On-Premises enterprise data infrastructure and tools. Design robust, reusable and scalable data driven solutions and data pipeline frameworks to automate the ingestion, processing, and delivery of structured and unstructured batch and real-time streaming data. Lead the development of data APIs and data delivery services to support critical operational processes, analytical models, and machine learning applications. Lead the selection and integration of data related tools, frameworks and applications required to expand our platform capabilities. Recommend and implement best practices for the management of enterprise data, including master data, reference data, metadata, data quality, and lineage. Learn and keep pace with the latest advances in the field and rapidly grasp new technologies to lead and support the environment and project deliverables. May manage/coach staff.
Requirements
- Bachelor’s degree in computer science, math, engineering, MIS, or equivalent experience
- Six years of collective experience in the application of architecture, enterprise roadmaps, analytics, cloud, IT strategies, innovation, SAFE, TOGAF and data integration concepts and methodologies
- Four years of experience architecting, building, and administering complex architectures and technologies, and real-time streaming analytics architectures in both on premises and cloud environments
- Expertise using SQL for data profiling, analysis and extraction
- Familiarity with data science techniques and frameworks
- Three years of experience in the four following areas: (1) Architecting, building, and administering large-scale distributed applications (2) Linux operations and development, including CLI, basic commands and shell scripting (Powershell, Bash) (3) Architecting scalable containerized applications with container orchestration framework (4) Execution of DevOps methodologies and Continuous Integration/Continuous Delivery
- Skilled in detailed-oriented delivery management; results oriented with a strong customer focus
- Leadership capability to effectively communicate with all levels of management
- Strong analytical skills and creative thinker
- Attention to detail and results oriented, with a strong customer focus
- Analytical and problem-solving skills
- Technical communication skills
- Prioritization skills to meet tight deadlines
- Master’s degree
- Experience with advanced analytics and machine learning concepts and technology implementations
- Experience with data analysis and using data visualization tools to describe data
- Understanding of big data and real time streaming analytics processing architecture and ecosystems
- Experience with Datalakes data warehousing architecture and implementation, including MPP, data streams, hands on experience with source to target mappings and developing ETL code
- Software development experience in relevant programming languages (i.e. Java, Python, Scala, Node.js, SQL)
- Thorough Knowledge of open API Specification, REST, API designs, Security and implementation
- Technology or platform certifications (e.g. AWS, Microsoft)
- Experience with Generative AI both AWS and Microsoft LLMs
- Experience in the financial services industry a plus