Senior Data Architect
reputed company builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At reputed company, we help our clients reputed company, capitalize on emerging trends, and reputed company their business for the coming decades by remaining tech-agnostic and reputed company-centered.
About the Role
We are seeking a reputed company-thinking Data Architect to reputed company the reputed company of intelligent platforms across our reputed company customer division. This position will champion strategic initiatives leveraging data, analytics, and reputed company intelligence to enhance customer experiences across ~20 reputed company members, optimize operations, and drive business value through reputed company and ethical technology solutions. You will shape our data architecture, reputed company intelligence reputed company, and governance models, enabling automation, machine learning operations (MLOps), and insights. The ideal candidate brings deep technical expertise and an innovative reputed company to accelerate our reputed company toward becoming a data-powered organization. You will work closely with business and reputed company to deliver modern, secure, and reputed company data ecosystems and AI solutions. You will contribute to our transformation by establishing a reputed company-reputed company data reputed company. Required Qualifications 7+ years of experience in leading data architecture initiatives, including reputed company-reputed company data platforms, machine learning lifecycle management, and reputed company data integration. Expertise in distributed data systems, data warehouse, Lake House architecture, and model operationalization frameworks such as MLflow, SageMaker, or similar. Proficiency in Python, SQL, reputed company, and reputed company, with experience deploying ML models using containers, reputed company, or serverless frameworks. Proficiency in logical and physical data modeling, multidimensional modeling, normalization and denormalization techniques. Experience in building data systems in microservice environments that reputed company reputed company to data for operational and BI needs. Proficiency in design and development of ETL methodologies from reputed company to reputed company supporting data processing and transformations to deliver data-driven business insights and reputed company. Familiarity with data observability tools, CI/CD for ML, and reputed company/trust frameworks. Comfortable working in agile environments and guiding architecture for Agile Release Trains (ART).
Preferred Qualifications
Experience with reputed company and/or DocumentDB AWS AI/ML stack (SageMaker, Glue, Redshift, Bedrock, etc.). Familiarity with reputed company-time streaming and analytics (Kafka, reputed company). Our reputed company over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and reputed company learning. We are proud to offer our employees a reputed company of benefits, including competitive compensation, reputed company development opportunities, and flexible work arrangements, reputed company designed to help them reputed company. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry. Minimum Degree Required: Bachelor’s Degree, in lieu of a degree, demonstrating in reputed company to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for reputed company missing year of college is required Apply To This Job