3816 Data Architect Engineer jobs in Dallas,TX

Medical, dental and vision plans

Benefit programs that help protect your income if you are unable to work due to illness or injury

Paid family leave

Paid time-off program

Paid holidays

Bachelor's degree or higher in Electrical Engineering, Computer Engineering, or related field

4+ years of relevant verification engineering experience, including 2 years in digital (Verilog), analog (FastSpice), or mixed-signal verification (co-sims or real number modeling)

Over 2 years working in custom design verification (schematic-based) or RTL design verification flows

Master's in Electrical Engineering, Computer Engineering, or related field, or equivalent experience, accompanied by more than 2 years in verification engineering roles

One or more patents, trade secrets, or publications showcasing innovation and problem-solving in verification solutions

Over 2 years in memory products using JEDEC specifications (preferably HBM), with experience building or improving verification flows

Experience using AI-enabled or Generative AI solutions to accelerate verification planning, test development, coverage analysis, and root-cause debugging.

MULTIPLE SHIFTS AVAILABLE

Full Time

Four years of relevant experience required

Extensive technical knowledge of Healthcare Hospital systems, databases, networks, operating systems and Information Management “Best Practices”, including: local and wide area networking, network protocols and routing; network, server, and host operating systems; Interoperability, data storage and retrieval systems; system backup and recovery; IP networking, internet and intranet technologies; email, groupware, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; video conferencing and telemedicine; server hardware, software, and administration.

Five years of increasingly responsible Enterprise architecture experience in Healthcare Hospital systems environments with a wide variety of Information Services applications and technologies is required.

Also requires specialized technical and procedural knowledge of system hardware/software, system administration, operations, problem identification/resolution, system documentation, and project management.

Experience in of SDLC, Agile and Waterfall methodologies

Business process analysis and design, and service delivery, particularly with respect to the use of information, EMR, ERP and CRM systems

Security model understanding and maintenance

Solid understanding of Business Intelligence/Data Warehouse environment with involvement in design and development of database solution in both traditional as well as columnar databases.

Experience in data integration with ETL techniques and frameworks

Experience in Big Data querying tools, such as Hive, Impala and Spark SQL

Bachelor's degree in Computer Science, Architecture, Information Systems, Electrical Engineering or related field preferred

Per Diem

Weekly Paychecks

Salary for this role is $110,000-$150,000 depending on experience

Hotel accomodations provided

Paid Time Off, Parental Leave, and Holidays

Insurance (including medical, prescription drug, dental, vision, disability, life insurance)

401(k) w/ Company Match

Stock Purchase Plan

Education Reimbursement

Legal Insurance

Discounts on gym memberships, pet insurance, and much more!

Our hands-on training

Must maintain a flexible schedule aligned with active construction hours, which may include extended shifts, weekends, or night work to support critical cutovers or external audits.

Active BICSI RCDD (Registered Communications Distribution Designer) certification is strictly required.

Deep practical understanding of active construction environments, MEP coordination, and reading complex architectural blueprints and schematics.

Must maintain a flexible schedule aligned with active construction hours, which may include extended shifts, weekends, or night work to support critical cutovers or external audits.

Field site deployment requires the ability to extensively navigate active construction zones, adhere to strict PPE requirements, climb ladders, and inspect overhead trays or under raised floors.

Your Amazon package will include sign-on payments and restricted stock units (RSUs).

The base salary range for this position is listed below.

USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually

USA, GA, Atlanta - 153,600.00 - 207,800.00 USD annually

USA, IL, Chicago - 153,600.00 - 207,800.00 USD annually

USA, MA, Boston - 153,600.00 - 207,800.00 USD annually

USA, NY, New York - 169,000.00 - 228,600.00 USD annually

USA, TN, Nashville - 145,900.00 - 197,400.00 USD annually

USA, TX, Dallas - 153,600.00 - 207,800.00 USD annually

USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually

USA, WA, Bellevue - 153,600.00 - 207,800.00 USD annually

You'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Bachelor's degree in computer science, engineering, mathematics or equivalent

5+ years of cloud architecture and solution implementation experience

Experience in a customer-facing role, engaging with customer executives, technologists or partners to solve business problems with advanced technologies

7+ years of experience building solutions for IoT, robotics, simulation, autonomous systems, or edge computing in industrial or supply chain environments

3+ years of experience implementing Physical AI or robotics projects including at least one of: digital twin environments, robotic policy training, discrete event simulation, or autonomous vehicle/system deployment

AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)

AWS Professional level certification or graduate degree in robotics, engineering, computer science, or related field

Experience architecting Physical AI systems using simulation platforms (NVIDIA Omniverse, Isaac Sim) and AWS services (SageMaker, IoT Greengrass, VAMS) for robotic model training and digital twin deployment

Experience with generative AI and agentic workflows applied to industrial automation, including architecture design, model integration, and synthetic data generation

Familiarity with OpenUSD (Universal Scene Description), computer vision, and robotics safety engineering standards