Principal Data Architect - Solutions By Text

Position Objectives

• Lead the implementation of our data practice using AWS technologies, including Machine Learning, AI, Master Data Management and real-time data streaming.
• Shape our data architecture strategy and execution of robust data solutions on the AWS platform.
• Present expert level guidance on AWS systems and architecture.
• Provide visionary leader with a deep understanding of data management, cloud technologies, and data governance best practices.
• Design and deliver scalable data solutions, integrating Machine Learning and AI capabilities, managing data streaming, and ensuring high data velocity to drive data-driven initiatives
• Collaborate closely with engineering, production, marketing, support, and sales teams in the development, QA, and release of products, and balance resources to ensure success for the entire organization

Responsibilities

• Data Architecture Design: Design and implement a comprehensive data architecture strategy that aligns with business goals and leverages AWS services (e.g., Redshift, S3, Glue, EMR, Lambda) while incorporating machine learning, AI, and real-time data streaming.
• Data Streaming Solutions: Develop and implement data streaming architectures using AWS services such as Kinesis and Kafka to support high-velocity data ingestion and real-time analytics.
• ML/AI Integration: Lead the development and integration of machine learning models and AI solutions using AWS services (e.g., SageMaker, Comprehend, Rekognition) to enhance data insights and business processes.
• Leadership and Strategy: Establish best practices for data governance, data modeling, and data integration, while promoting the use of ML/AI and real-time data processing in decision-making processes.
• Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and business leaders, to understand data requirements and ensure alignment with organizational objectives.
• Data Engineering Oversight: Guide and mentor data engineering teams in the development and optimization of data pipelines, ETL processes, and data warehousing solutions.
• Cloud Solutions Implementation: Evaluate and implement AWS tools and services to optimize data storage, processing, analytics capabilities, and ML model deployment.
• Performance Optimization: Monitor and optimize data architecture for performance, scalability, and cost-efficiency, particularly in managing high data velocity.
• Documentation and Standards: Create and maintain comprehensive documentation of data architecture standards, processes, and procedures, including ML/AI workflows and streaming architectures.
• Stay Current: Keep abreast of industry trends and emerging technologies in data architecture, cloud computing, machine learning, AI, and data streaming.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• 12+ years of experience in data architecture, data engineering, or related fields, with a strong focus on cloud solutions, particularly AWS.
• Proven expertise in designing and implementing data solutions using AWS services, including experience with ML, AI, and data streaming tools.
• Strong understanding of data modeling, ETL processes, data warehousing, and data governance.
• Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI).
• Familiarity with AWS machine learning services (e.g., SageMaker, Comprehend, Personalize) and AI frameworks (e.g., TensorFlow, PyTorch).
• Hands-on experience with real-time data streaming technologies (e.g., AWS Kinesis, Apache Kafka) and techniques to manage high-velocity data.
• Excellent problem-solving skills and the ability to translate complex technical concepts into business-friendly language.
• Strong communication and interpersonal skills, with a demonstrated ability to lead and mentor teams.
• AWS certifications (e.g., AWS Certified Solutions Architect, AWS Certified Data Analytics, AWS Certified Machine Learning) are a plus.

Preferred Qualifications

• Previous experience with SMS/Text Servicing
• Previous experience with Payment Services

General Duties and Expectations

• Adhere to the Company's Code of Conduct/Ethics.
• Create and maintain effective working relationships with other Company employees.
• Ability to multi-task, prioritize, and manage time effectively.
• Contribute to the professional culture within the office and the company overall.
• Project a professional and appropriate Company image in all dealings with clients, vendors, business partners and visitors.
• Ensure security of information in all matters pertaining to company, client, and consumer information.
• Spend 40-50 hours per work week in pursuit of company objectives.
• Contribute to the professional culture within the office and the company overall.

About Solutions by Text

Solutions by Text (SBT) was founded with the mission to deliver impactful conversational messaging and convenient payment solutions. Built on wireless carrier industry best practices, SBT is the only compliance-first provider of enterprise texting solutions in the market. More than 1,400 consumer finance organizations, including leading brands in auto finance, banking and lending, trust SBT to ensure convenient, effective, and compliant relationships with their millions of consumers. SBT is headquartered in Dallas, TX  with remote teams and offices throughout the United States. For more information, visit https://solutionsbytext.com/.

Solutions By Text is committed to promoting the values of diversity and inclusion throughout the business.  Whether it is through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.