Enterprise Architect

Posted Yesterday
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Dallas, TX, USA
In-Office
80-100 Annually
Senior level
Cloud • Analytics • Consulting
The Role
Designs and drives enterprise architecture strategies across applications, APIs, data platforms, integrations, and cloud environments. The role develops current- and future-state architectures, technology roadmaps, data models, governance practices, ETL and data warehouse solutions, and supports digital transformation initiatives. It also provides technical guidance to engineering teams, evaluates technology options, presents architecture recommendations, and partners with business and technical stakeholders in investment management, commercial real estate, and critical infrastructure environments.
Summary Generated by Built In
Enterprise Architect Contract-to-Hire (6 months)Job Description

We are seeking an experienced Enterprise Architect to support a global leader in commercial real estate and digital transformation initiatives. This role will work closely with business, technology, data, and transformation teams to define and drive enterprise architecture strategies, modernize platforms, and deliver innovative digital solutions. The ideal candidate will have strong expertise in agile architecture practices, enterprise technology landscapes, cloud and data-driven solutions, and stakeholder engagement across global organizations. This is a highly collaborative position requiring the ability to translate complex business challenges into scalable technology solutions while supporting strategic growth initiatives, including emerging critical infrastructure and data center programs.

What you’ll be doing
  • Design and support implementation of Agile Enterprise architecture services across various Digital Products and Data initiatives in lines with established technical principles, standards and practices.
  • Work with technical teams, businesses and end-users to successfully design modern applications, APIs, Data platforms. Help to choose correct technologies based on business strategy, capabilities and requirements, including application, data, technology and integration architecture.
  • Lead the analysis and documentation of the current application and integration landscapes, creating future state architectures and roadmaps.
  • Creation and management of architecture artefacts and lower-level components.
  • Perform application demonstrations and technical presentations
  • Provide technical expertise to design scalable ETL, data lake and data warehouse solutions, including addressing and resolving complex technical issues
  • Leading data architecture and design, data strategy to help support business objectives
  • Provide formal technical guidance and informal assistance to engineering teams
The successful candidate
To be successful in this role you will have:

  • Experience with investment management platforms, associated data ecosystems and delivery of advanced modelling and forecasting capabilities.
  • Prior experience working for asset management companies and divisions
  • Experience with client reporting systems, sales and CRM ecosystems such as Salesforce, in depth awareness and knowledge around fund modelling, forecasting and portfolio management systems such as Argus, Anaplan
  • Expertise in data architecture and data governance
  • Experience supporting critical infrastructure / data center environments Have an excellent technical and commercial understanding in the creation of technology solutions and outcomes for customers.
  • Excellent written, verbal and presentation communications skills; you will often find in situations where you have to describe problem statements, solution options, your analysis and recommendations to a mix of technical and non-technical, and use strong influencing skills to gain consensus and an agreed way forward.
  • Ability to approach design with timeliness, cost and quality factors in mind. Risk identification and mitigation, quantification, and qualification non-functional and functional requirements.
  • Deep application of data architecture, data design, data modeling, including conceptual, logical, and physical models
  • Ability to analyze business needs and translate them into technical requirements for data management systems
  • Ensure data security and compliance with all relevant regulations.
  • Driven digital transformation, roadmaps, target operating models, cost reduction, performance improvement
  • Proactive in identifying problems early and help the team to prioritise deliverables
  • Self-motivated, smart and quick to learn
  • Interest in, and focus on, customers and passionate about creating good user experiences
  • Good knowledge of agile software development processes
Required skills
  • Minimum bachelor’s degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics) AND/OR an MBA preferred)
  • Deep knowledge of  cloud architecture platforms (AWS, Azure)
  • Familiarity with data center or critical infrastructure technology ecosystems is a plus
  • Familiarity with CRE Advisory ecosystem (Capital Markets, Leasing, Valuations) technology needs is a plus
  • Technical proficiency, including: (
    • Must Have)
      • 8+ years of deep solution architecture, enterprise architecture experience
      • 5+ years of AWS/Azure data services,
      • 2+ years of implementing Web application preferably using React and NodeJS.
      • 4+ years of database architecture with Relational database, preferably Postgres
      • 4+ years in data platforms and ETL, preferably, Snowflake, Snaplogic, Collibra, Allation, Informatica
      • Demonstrable experience in data architecture and design is mandatory
      • Demonstrable experience establishing and influencing Enterprise Architecture,  particularly in a new or evolving domain is highly valued
    • Desirable
      • 3+ years working in an Agile development environment pairing DevOps with CI / CD pipelines
      • 3+ years of exposure to modern technologies such as EV, VR, AR, MXR, Hyperautomation

Skills Required

  • Bachelor's degree with a strong quantitative or STEM background
  • MBA
  • 8+ years of solution architecture or enterprise architecture experience
  • 5+ years working with AWS or Azure data services
  • 2+ years implementing web applications, preferably with React and Node.js
  • 4+ years of relational database architecture, preferably PostgreSQL
  • 4+ years working with data platforms and ETL
  • Demonstrable experience in data architecture and design
  • Experience with investment management platforms, data ecosystems, advanced modeling, and forecasting
  • Experience working for asset management companies or divisions
  • Experience with client reporting, sales, and CRM ecosystems such as Salesforce
  • Knowledge of fund modeling, forecasting, and portfolio management systems such as Argus and Anaplan
  • Expertise in data architecture and data governance
  • Experience supporting critical infrastructure or data center environments
  • Strong written, verbal, presentation, stakeholder engagement, and influencing skills
  • Experience with conceptual, logical, and physical data modeling
  • Ability to translate business needs into technical requirements for data management systems
  • Knowledge of data security and regulatory compliance
  • Experience driving digital transformation, roadmaps, target operating models, cost reduction, and performance improvement
  • Experience establishing and influencing enterprise architecture in a new or evolving domain
  • Familiarity with data center or critical infrastructure technology ecosystems
  • Familiarity with commercial real estate advisory technology needs
  • 3+ years working in an Agile development environment with DevOps and CI/CD pipelines
  • 3+ years of exposure to emerging technologies such as EV, VR, AR, MXR, or hyperautomation
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The Company
HQ: Addison, TX
568 Employees
Year Founded: 2004

What We Do

Anblicks is a Cloud Data Analytics Company based out of Dallas, TX, with offices in USA, India, and Australia. Since 2004, Anblicks has been helping customers by bringing value to their data and implementing modern data architecture and advanced analytics solutions in the cloud.

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