The Enterprise Solutions Architecture 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.
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.
Qualifications
- 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
- 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
- The ability to work in a team environment
Preferred Qualifications
- 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)
Working Conditions
- Hybrid Office Environment (Tuesday, Wednesday, Thursday)
- Moderate Travel 10 to 25%
This job description is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request.
Compensation
The Salary for this position generally ranges between $150,000 - $190,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law.
Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company’s discretion.
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
This is a hybrid position requiring three days in office per week in one of our hub locations (Denver, CO; Cedar Rapids, IA; Philadelphia, PA). Relocation assistance will not be provided for this position.
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