Data Solutions Architect & Data Solutions Analyst/Developer

About the Role

Key Responsibilities

• Evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment.
• Contribute to the architecture for Risk Data and Reporting Platform to enable Data Management and Reporting capabilities for risk lines of businesses.
• Evaluate data tools, conduct Proof of Concepts, and develop remediation plans to implement recommended solutions.
• Support analysis, design, and development of Risk Data and Reporting Platform to enable data management and reporting.
• Perform hands-on research and evaluation of data tools, develop Proof of Concepts, and process large complex datasets.
• Develop reporting solutions, perform thematic analysis, data discovery, and issue resolution.
• Demonstrate knowledge of data solutions, data platforms, data management & governance practices and standards.
• Use architecture tools to create design artifacts including data models, API design, and data solutions architecture.
• Lead strategy and architecture for data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality, and related data services.
• Design data products to provide high-quality data for quantitative modeling solutions.
• Assess the health and maturity of data & information capabilities for the GRM domain.
• Evangelize and design new data solutions and capabilities to support risk lines of businesses.
• Participate in defining the mission, goals, principles, and procedures for data strategy and information architecture.
• Build business cases to secure approval and funding for data and analytical efforts.
• Maintain logical data models and data flows to understand data interdependencies.

Requirements

• Bachelor's degree in computer science, engineering, Data Science, or Analytics.
• 5+ years of experience in data platform/solutions and data management architecture (or 3+ years with a Master's degree).
• Strong experience in designing and developing data solutions, data management & governance products, and data/reporting platforms.
• Proficiency in data analysis, profiling, and developing dashboards and automated reports.
• Experience with API design and technologies such as GraphQL.
• Expertise in architecting complex design patterns, microservices, API design, data warehouses, data lakes, and data pipelines.
• Deep understanding of industry paradigms such as data mesh, data contracts, and integration fabric.
• Experience with relational and NoSQL data stores, big data environments, and data technologies including Python, Spark, Airflow, Javascript, and SQL.
• Ability to research new data technologies, architect novel solutions, and develop prototypes and POCs.
• Knowledge of data management functions such as Data Catalog, Data Lineage, Data Marketplace, Data Quality, and Feature Stores.
• Exceptional communication skills for effective organization-wide communication.

Nice to Have

• Experience with data management platforms such as Collibra or open-source frameworks like Apache Atlas, Amundsen, Datahub, Marquez.
• Knowledge of data storage layers/formats such as Apache Iceberg, Hudi, Delta Lake, Parquet, JSON, and Avro.
• Experience with graph processing and storage technologies such as Knowledge Graphs, Property Graphs, and graph stores like TigerGraph.
• Exposure to Linked Data / Open Data and GenAI-based data solutions.

Qualifications

• Educational background in computer science, engineering, Data Science, or Analytics.

Benefits & Perks

• Opportunities to learn, grow, and make an impact within a supportive environment.
• Flexible work arrangements with a focus on in-office attendance as per role requirements.