Data Engineer Data & Intelligence

TekWissen•Frisco, TX
•Hybrid

About The Position

The Data Engineer – Data & Intelligence role is a six-month temporary assignment with hybrid work in Bellevue or Frisco, Texas. The role leads solution and application architecture for large engagements, serving as the design authority, ensuring technical quality and adherence to architecture principles and design standards, and developing conceptual platforms and solution models for customer engagements and presales. The position provides architecture governance, design reviews, technical audits, and guidance to architects and technical leaders. It identifies reusable patterns and assets, defines quality metrics and non-functional requirements, and supports delivery teams in managing technical risks and achieving successful implementations. The role also contributes to knowledge management, capability development, training, mentoring, talent evaluation, and career guidance. In customer-facing consulting, the role assesses current business, application, data, and technology landscapes; identifies gaps and target states; defines agile solution roadmaps; evaluates technical feasibility and cost-benefit considerations; and secures stakeholder alignment. It promotes innovation and thought leadership by defining architecture models, principles, patterns, technology choices, and roadmaps, and by creating proofs of concept, reusable assets, white papers, presentations, and demonstrations. The role calls for broad technology knowledge and in-depth expertise in at least two technologies within the customer landscape, along with knowledge of architecture, design, software development, project governance, estimation, requirements, and knowledge-management practices. The employer is TekWissen Group, which states that it is an equal opportunity employer supporting workforce diversity.

Requirements

  • Working knowledge of standard business processes in the relevant industry vertical and customer business domain.
  • Broad knowledge of multiple technologies and frameworks, including their applicability, data structures, algorithms, APIs, libraries, and practices for high-performance applications.
  • In-depth knowledge of at least two technologies within the customer technology landscape.
  • Broad knowledge of technology trends across multiple interrelated technologies.
  • Specialized understanding of architecture principles, models, and patterns such as SOA, N-Tier, and EDA; perspectives such as TOGAF and Zachman; system integration; non-functional areas; and architecture trends.
  • Broad understanding of enterprise assets, deployment architecture, and architecture governance, plus working knowledge of data architecture, capacity planning, and security architecture.
  • In-depth knowledge of design patterns, design principles, practices, and design tools.
  • Thorough knowledge of end-to-end software development lifecycle processes, including Agile and traditional methods, programming principles, tools, and best practices.
  • Working knowledge of project management processes and tools, project governance frameworks, and RACI matrices.
  • Knowledge of project metrics and specialized estimation and resource-planning techniques.
  • Working knowledge of knowledge-management tools and techniques, technical documentation standards and templates, and requirements-gathering and analysis methods and tools.
  • Ability to define and assess requirements, create design and requirements artifacts, evaluate estimates and solutions, and structure complex customer solutions and proofs of concept.

Responsibilities

  • Lead solution and application architecture for large engagements and act as the engagement design authority.
  • Ensure technical quality across the project portfolio and adherence to architecture principles, design standards, and applicable regulatory mandates.
  • Conceptualize technical platforms and solution models for customer needs, including contributing to presales activities.
  • Review project architectures, designs, framework elements, and architecturally significant components; conduct technical audits and define and measure architecture and technology quality metrics.
  • Identify common themes and optimization opportunities across projects and create or promote reusable assets and design patterns.
  • Guide technical architects and senior technical leaders through design challenges and support successful solution delivery.
  • Partner with the GAMA team to develop training for new service offerings; mentor architects and provide technical training and certifications.
  • Assess team training needs, support candidate technical evaluations, and provide career guidance and performance-management support.
  • Gather and analyze architecturally significant requirements, validate cross-application and cross-technology requirements, and reconcile conflicting requirements with customers and stakeholders.
  • Assess current business, application, data, and technology landscapes; identify gaps and define target states and solution roadmaps.
  • Evaluate solution fit across technical feasibility, costs and benefits, and people considerations; demonstrate value and obtain stakeholder buy-in.
  • Define architecture principles, patterns, technology stacks, non-functional requirements, and solution designs; guide technical teams in adopting them.
  • Coordinate with stakeholders and vendors, proactively identify and manage technical risks, and manage key client expectations.
  • Develop, track, and improve reusable assets and their implementation and deployment effectiveness.
  • Create proofs of concept, business logic, technical roadmaps, white papers, documentation, presentations, and demonstrations; identify and evaluate relevant technologies and trends.
  • Support project planning and governance through estimates, resource planning, risk and mitigation planning, metrics, communication protocols, escalation paths, and reporting mechanisms as applicable.
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