Data Architect

Position: Data Architect Location: Delaware Duration: Contract Job ID: 180546 Job Overview: This Data Architect role is responsible for designing, developing, and optimizing data solutions that support analytics, reporting, and business decision-making. The position combines hands-on data engineering and analysis with project management, stakeholder communication, and leadership responsibilities. The ideal candidate will have strong experience with Python, SQL, Spark, and cloud technologies, along with proven ability to manage projects, collaborate with cross-functional teams, and communicate effectively with senior leadership. Responsibilities: Design, develop, and maintain scalable data architectures and data pipelines to support analytics and reporting needs. Perform in-depth data analysis to identify trends, patterns, and insights that support business objectives. Develop and optimize code using Python, SQL, Spark, and Databricks for data processing, transformation, and integration. Create automated solutions using Python to generate Google Slides, Google Sheets, and Google Docs with charts, data tables, and reports. Implement and maintain data validation, data quality checks, and system integration processes across multiple data sources. Leverage AWS services to build, deploy, and manage data solutions in a cloud environment. Develop and maintain dashboards and visualizations using Tableau or AWS QuickSight to present key metrics and insights. Conduct analysis to evaluate existing processes and tests, identify gaps, and develop plans to close those gaps. Manage projects end-to-end, including setting up meetings, creating agendas, taking notes, following up on action items, and reporting status. Define project timelines, milestones, and deliverables, and ensure work is completed on schedule. Communicate project updates, risks, and outcomes clearly and frequently to stakeholders up to the Senior Director level. Collaborate with business and technical stakeholders to understand requirements and translate them into data and reporting solutions. Provide customer-facing support, addressing stakeholder needs and delivering real-time project status updates. Mentor and guide team members, contributing to a collaborative and high-performing team environment. Qualifications: Approximately 5 years of overall professional experience in data-focused roles. At least 4 years of professional data analysis experience working with large and complex datasets. At least 4 years of programming experience, preferably with Python, SQL, and related data technologies. At least 1 year of experience in people management or project management. Experience working directly with clients or customer-facing teams. Minimum 5 years of hands-on experience with Python, SQL, or Spark, and Databricks. Python experience integrating with Google Slides, Google Sheets, and Google Docs, including automated creation of presentations, charts, and data tables. At least 1 year of experience with Tableau or AWS QuickSight for data visualization and dashboard development. Experience with system integration, data validation, and implementing robust data quality checks. Proficiency in utilizing and developing solutions within AWS services (e.g., data storage, compute, analytics tools). Demonstrated ability to conduct process evaluations, identify gaps, and propose and implement improvement plans. Proven project management experience, including creating project timelines, defining milestones, and managing deliverables. Strong presentation and communication skills, with the ability to convey complex information clearly, concisely, and logically. Experience communicating and presenting to senior leadership, including Senior Director level stakeholders. Customer-facing experience, with the ability to address stakeholder needs and provide timely project status updates. Quick learner with the ability to adapt to new tools, technologies, and business domains. Effective team player with strong collaboration and interpersonal skills. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $80- $85 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at View phone number on clickmatrix.dev. To report any concerns, please email us at View email address on clickmatrix.dev During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations. #LI-HY1