Data Solutions Architect

We are seeking a Senior Solutions Architect within the Enterprise Technology function who will be responsible for shaping the strategy, architecture, design, and implementation of scalable solutions for the Data Intelligence team. The ideal candidate should possess strong technical skills, problem-solving abilities, and the ability to manage shifting workloads in a dynamic environment. Effective communication and leadership skills are essential, as well as a passion for driving results in a fast-paced organization. This role will involve collaborating with various business teams to understand their objectives and provide the necessary data and technical support to achieve their goals.

• Design a scalable, long-term architecture to address complex business problems.
• Conduct workshops with senior stakeholders in Sales, Finance, and Engineering teams to collate technical and functional requirements.
• Translate business requirements into technical solutions, utilizing strong business acumen.
• Analyze current business practices, processes, and procedures, identifying opportunities for leveraging Data & Analytics solutions on multiple platforms.
• Develop comprehensive solution proposals outlining project scope, approach, deliverables, and timeline.
• Provide architectural expertise for Sales, Finance, and other analytics projects.
• Identify risks, assumptions, and design Data & Analytics solutions.
• Oversee the implementation of solutions, providing guidance to delivery teams.
• Mentor and guide junior team members in all aspects of technical solutioning.

• 15-20 years of experience in Big Data, data warehouse, and data analytics projects, with at least 2 years as a solutions architect
• Demonstrated experience in engaging with both technical and non-technical stakeholders
• Proven track record in building large-scale enterprise data architectures using commercial and/or open-source Data Analytics technologies
• Prior experience in developing data products for lead-to-renewal processes and finance simplification
• Ability to estimate complexity, effort, and cost, and produce solution architecture and business understandable presentations
• Excellent communication skills to lead and facilitate workshops
• Strong expertise in data stack technologies, including Snowflake, S3, Databricks, Snaplogic, and Tableau
• Proficiency in data modeling and architecting, with a strong foundation in data warehousing concepts, data normalization, and dimensional data modeling (e.g., OLAP or data vault)
• Good knowledge of DevOps engineering using Continuous Integration/Delivery tools
• In-depth understanding of Cloud solutions (AWS, Azure, and/or GCP) and experience integrating them into traditional hosting/delivery models

• Comprehensive compensation package
• Fair pay based on market value and qualifications
• Base salary range of $196,000 - $265,000
• Additional components such as equity, sales incentive pay, and benefits
• Opportunity to work with a highly motivated team
• Chance to shape strategy, architecture, design, and implementation of scalable solutions
• Collaborative work environment
• Opportunity to work with senior stakeholders in Sales, Finance, and Engineering teams
• Mentorship and guidance for junior team members
• Engaging with both technical and non-technical stakeholders
• Building large-scale enterprise data architectures
• Developing data products for lead-to-renewal processes and finance simplification
• Estimating complexity, effort, and cost
• Excellent communication skills
• Strong expertise in data stack technologies
• Proficiency in data modeling and architecting
• Knowledge of DevOps engineering and Cloud solutions
• Opportunity to work for a top workplace with a positive culture
• Commitment to diversity, equity, and inclusion