Senior Data Solutions Architect

Job ID: R_358764Company: Marsh McLennanLocation: 360 Hamilton Avenue, White Plains, NY 10601, United States of AmericaJob Type: RegularCategory: TechnologyIndustry: Real EstateSalary: 190000Posted Date: 2026-08-04Our not-so-secret sauce.Award-winning, inclusive, Top Workplace culture doesn’t happen overnight. It’s a result of hard work by extraordinary people. The industry’s brightest talent drive our efforts to deliver purposeful work and meaningful impact every day. Learn more about what makes us different and how you can make your mark as a Senior Data Solutions Architect at MMA.Marsh McLennan Agency (MMA) provides business insurance, employee health & benefits, retirement, and private client insurance solutions to organizations and individuals seeking limitless possibilities. With offices across North America, we combine the personalized service model of a local consultant with the global resources of the world’s leading professional services firm, Marsh (NYSE: MRSH).A day in the life. We are seeking a Senior Data Solutions Architect with a minimum of 12 years of experience who can translate business requirements into technical strategies and architect the solutions on to MMA data platforms. In this role that blends Data and Cloud architecture, you design enterprise data architecture and solutions across MMA’s cloud and hybrid data platformsLead the Design and Architecture of enterprise solutions across MMA’s Agency management software, EHB and CRM domains.Develop and maintain solution blueprints for core platforms, including Agency management systems, GCP, Azure Databricks, Workday, ServiceNow, Microsoft Fabric and Azure SQL.Define and enforce standards for medallion architecture (bronze, silver, gold layers) for MMA’s data Lakehouse, ensuring proper ingestion, transformation, and consumption.Establish secure and scalable integration patterns and data flows between AMS , HRIS , CRM, Azure Cloud, and development systems.Ensure solutions comply with GDPR , HIPAA , and other regulatory frameworks governing healthcare and insurance data.Collaborate with the Data Governance Council to align solution architecture with role-based access controls ( RBAC ) and row-level security ( RLS ) in Unity Catalog and Power BI.Drive adoption of metadata management and data lineage practices within Databricks Unity Catalog and other modern data governance tools.Partner with enterprise architecture, Data Analytics, and Data Engineering teams to align on shared infrastructure and data strategies.Evaluate and recommend emerging technology features in AI/ML, Databricks, and analytics to support decision-making and MMA’s long-term data strategy.Support MMA’s data modernization and transformation initiatives by developing frameworks for AI-ready data platforms, enabling responsible adoption of predictive analytics and LLM -based solutions.Our future colleague.We’d love to meet you if your professional track record includes these skills:Minimum 12 years of experience designing end to end ETL/ELT data solutions with a minimum of 5 years preferably in Azure cloud environment and Databricks.Comfortable working in agile methodologies and large scale data migrations, data modernization initiatives, proof of concept experiments and requirements gathering.Create conceptual, logical, and physical data models support engineering, analytics, and operational use cases and creating entity relationshipsAdvanced knowledge of SQL ,data modeling, and modern data Lakehouse technologies.Hands-on experience with Delta Lake features such as Change data capture, ACID transactions, optimization, and schema drifting/evolution for both batch and real-time data processing.Understanding of compliance, quality, and security frameworks for healthcare and Insurance.In-depth understanding of data structures (structured and unstructured), Data types and formats and command on high performance data storage in data lakes.These additional qualifications are a plus, but not required to apply:Certifications in TOGAF, Enterprise Architecture, Azure are a big plus.We know there are excellent candidates who might not check all of these boxes. Don’t be shy. If you’re close, we’d be very interested in meeting you.Valuable benefits.We value and respect the impact our colleagues make every day both inside and outside of work. Our culture promotes colleague well-being through robust benefits programs and resources, professional and personal development opportunities, and fulfillment through meaningful work.Some benefits included in this role are:Generous time off, including personal and volunteeringTuition reimbursement and professional development opportunitiesRemote workCharitable contribution match programsStock purchase opportunitiesTo learn more about a career at MMA, check us out our website or flip through recruiting brochure.Follow us on social media to meet our colleagues and see what makes us tick:InstagramFacebookXLinkedInWho you are is who we are. We embrace a culture that celebrates and promotes the many backgrounds, heritages and perspectives of our colleagues and clients. We are always seeking those with ethics, talent, and ambition who are interested in joining our client-focused teams.Marsh McLennan and its affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers.#LI-REMOTEThe applicable base salary range for this role is $115,800 to $202,700.The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.Applications will be accepted until: September 8, 2026Skillsdata architectureazuredatabrickssqletldata modelingdata governancegdpr compliancehipaa complianceagile methodologiesdata lakehouseai/ml technologieschange data capturedata migrationentity relationshipsdata structuresdata qualitydata securitymetadata managementpredictive analyticsframework developmentworkdayservicenowmicrosoft fabrichigh performance data storageazure sqlrole-based access controlrow-level securitydata lineageproof of concept