Senior Data Architect

MSD

Senior Data Architect designing enterprise analytics solutions for Merck, a global healthcare biopharma company. Building data models, pipelines, and reporting platforms supporting finance and corporate stakeholders.

Posted 8/5/2026full-timeHyderabad • 🇮🇳 IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data architecture and architectural design, with proficiency in SAP Datasphere and SQL. Capable of delivering enterprise data, analytics, and reporting solutions while ensuring data quality and compliance in regulated environments.

Highest-signal resume keywords

Data Architecture ExpertiseSAP Datasphere ProficiencyData Modeling SkillsSQL ProficiencyData Migration Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData ModelingData MigrationSQLELT/ETLAPI IntegrationData QualityData TransformationData PipelinesPerformance Optimization

Soft Skills

Communication SkillsCross-Functional CollaborationMulticultural Teamwork

Tools & Technologies

SAP DataspherePower BIBusinessObjectsCloud Data WarehousesData Lakes

Industry Keywords

Enterprise Analytics SolutionsERP ModernizationRegulated EnvironmentsSIT/UAT TestingData Integration Patterns

Tech Stack

Tools & technologies

CloudERPETLPythonSDLCSQL

About the role

Key responsibilities & impact

Contribute to implementation projects and global rollouts of enterprise analytics solutions
Partner with stakeholders to capture and refine analytical requirements and define measurable outcomes
Translate functional requirements into technical solution designs, including data models, interfaces, and reporting layers
Design and evolve canonical conceptual, logical, and physical data models aligned to business domains
Define and enforce data architecture standards, naming conventions, modeling patterns, and integration approaches
Develop and review data pipelines, transformations, and curated datasets for reporting and self-service analytics
Coordinate delivery tasks with external teams and ensure quality through code and design reviews
Support and coordinate SIT/UAT testing, reconciliation, and data quality validation
Provide post-go-live and hypercare support
Contribute to knowledge transfer sessions and support teams
Follow lifecycle management processes and SDLC standards
Deliver remediation activities related to ERP modernization and downstream reporting impacts
Collaborate with colleagues across different locations in a diverse, globally distributed environment

Requirements

What you’ll need

Expertise in data architecture and strong architectural design skills
Proficiency in SAP Datasphere
In-depth understanding of data migration
Bachelor's degree in computer science, Information Technology, or a related field, or equivalent experience
7+ years of experience delivering enterprise data, analytics, and reporting solutions in complex environments
Experience supporting ERP/finance data domains, including record-to-report, order-to-cash, and procure-to-pay
Strong data architecture and data modeling skills, including conceptual, logical, physical, dimensional, normalized, and denormalized modeling
Practical experience designing batch, ELT/ETL, CDC, API, and event-based data integration patterns
Experience defining interface contracts
Proficiency with SQL
Hands-on experience implementing transformations, reusable semantic layers, and performance-optimized datasets
Experience with modern data platforms and tooling, including cloud data warehouses/lakes, orchestration, and metadata/catalog capabilities
Solid understanding of data quality, reconciliation, lineage, and controls for regulated environments
Ability to work effectively within a cross-functional, multicultural team environment
Very good communication skills and ability to support multiple initiatives in a regulated pharma environment
Experience contributing to ERP modernization or migration programs and managing downstream analytics impacts is a plus, not required
Exposure to Python, Power BI, BusinessObjects, semantic/metrics layers, and self-service analytics is welcomed

Benefits

Comp & perks

Hybrid flexible work arrangement
Regular employee status
Opportunity to work for a global healthcare biopharma company
Professional knowledge transfer sessions
Collaboration with globally distributed teams
Relocation: not specified
Visa sponsorship: not specified