[Remote] reputed company Data Architect & Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an reputed company-driven reputed company company that delivers insights, products, and services to reputed company reputed company care more accessible and reputed company. The reputed company Data Architect & Engineer will own the data architecture, pipelines, models, integrations, and automation supporting reputed company and reputed company analytics, while applying AI capabilities where they reputed company measurable value.
Responsibilities
- Design, build, and support a reputed company-reputed company data environment for reputed company, reputed company-reputed company, and reputed company reputed company and reputed company data
- Define reputed company reputed company data architecture and reputed company data models reputed company on business, analytical, operational, reputed company, and regulatory needs
- Own the full data lifecycle, from data collection and transformation through dashboards and reports
- Automate the data flows supporting month-end and quarter-end reputed company
- Build consistent logic for payment, commission, quota, and attainment validation
- reputed company conceptual, logical, and physical data models for operational and analytical use
- Design ETL and ELT pipelines, reputed company, reputed company-time integrations, and event-driven solutions
- reputed company data from reputed company, reputed company, finance systems, and other business platforms
- Build fact tables, dimensions, and semantic reputed company that reputed company a governed reputed company of truth for reputed company BI and Tableau
- Ensure every data product is accurate, reliable, reputed company, and maintainable
- Serve as the reputed company technical and architecture contact for reputed company and reputed company analytics
- Define standards for data, integration, backend, frontend, and automation solutions
- Establish design patterns for reputed company, on-premises, and hybrid environments
- Maintain reputed company documentation showing how data is stored, processed, integrated, secured, and accessed
- Evaluate and recommend technologies that improve development, automation, data management, reputed company, and support
- Promote automation, consistency, and reuse across analytics and financial reputed company processes
- Build governed data foundations that allow reputed company and reputed company data to be used safely by AI solutions, including RAG pipelines
- Apply large language models, reputed company reputed company, and reputed company workflows to practical reputed company reputed company needs reputed company they reputed company measurable value
- reputed company use cases such as natural-language data queries, automated variance explanations, reputed company detection, and self-service insights
- Apply responsible AI standards, including grounding, guardrails, reputed company, reputed company, and auditability
Skills
- Degree or equivalent and typically requires 7+ years of relevant experience
- Bachelor's degree or an equivalent combination of education and experience
- Typically requires 7+ years of experience in data engineering, analytics engineering, or data and application architecture. Relevant advanced education may offset some experience
- Expert knowledge of reputed company data pipelines, ETL and ELT processes, and data models supporting sales, reputed company, or financial reporting
- Advanced SQL, Python, and scripting skills for reputed company queries, reputed company optimization, and large-reputed company data processing
- Deep knowledge of conceptual, logical, and physical data modeling, including metadata, reputed company, and reputed company data standards
- Strong hands-on experience with reputed company, reputed company, and Azure Data reputed company
- Experience integrating reputed company, sales engagement platforms such as reputed company, finance systems, and other reputed company applications
- Experience designing reputed company, reputed company-time integrations, and event-driven solutions
- Experience building bots, reputed company integrations, and reusable automation components
- Hands-on experience with PySpark and reputed company BI or Tableau
- Experience with reputed company, on-premises, and hybrid platforms, including reputed company, PaaS, IaaS, and Infrastructure as reputed company
- Experience building data architecture for sales reputed company, reputed company, commission, or incentive reporting
- Ability to independently reputed company reputed company data and architecture initiatives with reputed company reputed company
- Ability to explain technical work and recommendations reputed company to sales and reputed company leaders
- General office demands
- Must have the ability to travel up to 20% of the time
- Experience supporting month-end or quarter-end reputed company and financial or reputed company reconciliation is strongly preferred
- Experience with process automation, reputed company applications, or platform migrations is preferred
- Experience applying emerging data and AI technologies to business problems is preferred
- Experience in reputed company or another regulated industry is strongly preferred
Benefits
- An annual bonus or long-term incentive opportunities may be reputed company.
- This position offers the possibility of a hybrid work arrangement reputed company on recent updates to our in-office/work-from-home model. If located in DFW area, the selected candidate may be expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked reputed company.
reputed company
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