Architect Level 3

Rapinno Tech; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

KTD is seeking a Data Architect Level 3 to partner with development, product, architecture, information security and infrastructure teams to deliver data-driven software and technology products.

The role focuses on developing enterprise data architecture, data strategy and roadmaps, creating reusable standards, and guiding migration plans to cloud-based platforms while ensuring security and governance. You will mentor engineers and influence technical decisions across the organization.

Qualifications

• Lead the development of enterprise data architecture and data strategy across technology teams.
• Define high-level migration plans to address current vs future state data platforms.
• Promote reuse of data assets and maintain the data catalog for reference.
• Mentor team members in data principles, patterns, processes, and practices.

Responsibilities

• Provide facilitation, analysis and design tasks for enterprise data architecture.
• Develop standards, design patterns, and configurations for data infrastructure.
• Adhere to architecture principles when adopting new tech or integrating third-party solutions.
• Advise product management on technology aspects of the roadmap and emerging tech.

Skills

Data architecture

Data strategy

Roadmaps

Mentoring

Data governance

Stakeholder influence

Tools

Azure Data Factory

Databricks

SQL

NoSQL

Job description

Architect Level 3 JOB-7009 | Program Edge : 918714 Location: BTC-Blue Ash, OH (Remote) Hiring Co: KTD Duration : 12 Months Note to Vendors 100% Remote candidates will be considered Job Description

POSITION SUMMARY

• The Data Architect will partner with development, product management, architecture, information security and infrastructure teams to deliver software and technology products that meet requirements and produce desired business outcomes.
• Provide facilitation, analysis and design tasks required for the development of an enterprise's data and information architecture, focusing on data as an asset for the enterprise.
• Develop reusable standards, design patterns, guidelines, and configurations to evolve the technical infrastructure related to data and information across the enterprise.
• Adhere to established architectural principles and associated processes for adopting new technology or integrating with a new third-party solution.
• Advise product management on technology specific aspects of product roadmap development and recommend adoption of emerging technology appropriate to stated goals.
• Demonstrate the companys core values of respect, honesty, integrity, diversity, inclusion, and safety.

Minimum Position Qualifications

Participate in the development and communication of data strategy and roadmaps across the technology organization to support project portfolio and business strategy Participate in, and drive, the development and communication of enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses Partner with engineering staff to deliver solutions Partner with 3rd party vendors to integrate capabilities as required by the solution under development Lead architectural design reviews as required Interact with/present to engineering and product management with the presence to influence and drive the decision makers to a solution Define high-level migration plans to address the gaps between the current and future state Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement Mentor team members in data principles, patterns, processes and practices Promote the reuse of data assets, including the management of the data catalog for reference Draft and review architectural diagrams, interface specifications and other design documents Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms Promote the capture and reuse of intellectual capital, including code objects and components 5+ years successful and applicable hands-on experience in the data development and principles including end-to-end design patterns 5+ years proven track record of designing and delivering large scale, high quality operational or analytical data systems 5+ years successful and applicable experience taking a lead role in building complex data solutions that have been successfully delivered to customers 5+ years of experience building cost effective and performance driven solutions using elastic architectures in Microsoft Azure leveraging Azure Data Factory and Databricks Platforms. Basic understanding of network and data security architecture Knowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management Any experience defining evolutionary data solutions and underlying technologies Experience with SQL and NoSQL applications on Big Data Platforms Demonstrated capability to build, mentor and maintain an inclusive team-based environment Proven delivery of innovative results in previous roles and strong knowledge of industry trends and industry competition Demonstrated written, oral, and presentation/public speaking communication skills; demonstrated interpersonal skills with an ability to communicate/work effectively with diverse groups of people

Key Responsibilities

• Provide facilitation, analysis and design tasks required for the development of an enterprise's data and information architecture, focusing on data as an asset for the enterprise.
• Develop reusable standards, design patterns, guidelines, and configurations to evolve the technical infrastructure related to data and information across the enterprise.
• Adhere to established architectural principles and associated processes for adopting new technology or integrating with a new third-party solution.
• Advise product management on technology specific aspects of product roadmap development and recommend adoption of emerging technology appropriate to stated goals.
• Demonstrate the companys core values of respect, honesty, integrity, diversity, inclusion, and safety.

Originally posted on Himalayas