Software Architect

Infomedia - Atlanta, GA

Full-time - Senior

Atlanta, GA

Professional, Scientific, and Technical Services

About the position

The Software Architect - Data Product at Infomedia Ltd is a pivotal role responsible for leading the design and optimization of data product architecture. This position involves overseeing the integration of advanced data technologies, mentoring junior team members, and collaborating with cross-functional teams to ensure the delivery of effective data solutions that enhance the customer journey and drive dealer efficiencies.

Responsibilities

• Build end-to-end solution design for products and applications within the data analytics product space.
• Partner with business, engineering, and product stakeholders to determine system requirements and design fit-for-purpose solutions.
• Contribute to the Architecture peer group, supporting their strategy and roadmap.
• Design solutions for new initiatives/enhancements with a focus on simplicity and operational integration.
• Review, assess, and govern application/product solution designs for conformance to architecture principles throughout the project lifecycle.
• Diagnose and solve architecture problems and issues that may arise.
• Act autonomously in dealing with identified issues or deviations from standards.
• Support the adoption of target-state architecture by executing on the strategy for enterprise and digital platforms and systems.
• Ensure alignment to architecture standards and principles for consistent solution decisions across the enterprise.
• Improve application/product performance through enterprise solutions and capabilities, including application data security and access control designs.

Requirements

• Bachelor or master's degree in computer science, Information Technology, Data Science, or a related field.
• 10+ years of experience in software architecture, database design, and data modeling, with at least 3+ years in a senior or lead role.
• Expertise in enterprise-scale relational databases (e.g., SQL Server, MySQL) and non-relational databases (e.g., MongoDB, DynamoDB).
• Deep knowledge of cloud-based architectures (AWS, Azure, Google Cloud) and experience in migrating and managing cloud data solutions.
• Strong experience in designing and managing data lakes, data warehouses, and real-time streaming systems (e.g., Kafka, Spark, Redshift, Snowflake).
• Proven expertise in data governance, security frameworks, and compliance standards (e.g., GDPR).
• Excellent understanding of ETL/ELT processes, data integration, and data transformation tools such as Informatica or equivalent.
• Track record of working with big data technologies (Hadoop, Hive, Spark, etc.) and delivering large-scale data platforms.
• Exceptional analytical, problem-solving, and decision-making skills, with a focus on driving business outcomes through data architecture.
• Ability to communicate complex technical concepts effectively to executive leadership and cross-functional teams.

Nice-to-haves

• Experience in artificial intelligence (AI) or machine learning (ML) data architectures.
• Advanced knowledge of DevOps practices and continuous integration/continuous delivery (CI/CD) pipelines for data operations.
• Strong programming skills in Python, Java, or Scala, particularly for data manipulation and processing.
• Certification in cloud architecture (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer).

Benefits

• Paid parental leave
• Flexible working arrangements
• Health perks
• Growth and career development
• Recognition