Data Solutions Architect

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.

We are seeking a highly skilled Data Solutions Architect to support large-scale data and analytics initiatives within a global organization. This role focuses on improving data quality, governance, and standardization, while enabling better decision-making through structured and accessible data.

Key Responsibilities

• Collect, analyze, and structure risk data from unstructured sources
• Design and implement digital forms, workflows, and data capture solutions
• Manage and maintain data lakes and databases (AWS, Databricks, Informatica, etc.)
• Ensure seamless data integration and flow across systems and teams
• Translate business requirements into technical data solutions
• Collaborate with data governance teams to enforce standards and policies
• Develop and maintain data dictionaries, metadata, and classifications
• Identify and resolve data quality issues, ensuring accuracy and consistency
• Support enterprise initiatives to enhance data maturity and governance frameworks

Required Skills

• Strong experience in data architecture, data governance, or reference data management
• Hands-on experience with AWS, Databricks, Python, PySpark, Unity Catalog, Notebooks
• Knowledge of data modeling, data quality, and metadata management
• Experience translating business needs into technical data solutions
• Strong stakeholder communication and cross-functional collaboration skills

Preferred Qualifications

• Experience in financial services or large enterprise environments
• Familiarity with Agile / SDLC methodologies
• Experience with data profiling, querying (Oracle, DB2, Databricks)
• Exposure to data visualization tools
• Ability to manage multiple priorities in a fast-paced environment

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.