Senior Data Architect

Jobtailor; Hyderabad; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Jobtailor in Hyderabad, India seeks a Senior Data Architect to lead enterprise data, analytics, and reporting initiatives. You will design data models, implement data integration patterns, and ensure data quality in regulated environments.

You will collaborate with cross-functional teams, drive modern data platform initiatives, and support ERP modernization efforts while leveraging SAP Datasphere, Power BI, and BI tooling to deliver self-service analytics.

Qualifications

• Bachelor's degree in computer science, information technology, or related field, or equivalent experience.
• 7+ years delivering enterprise data, analytics, and reporting solutions in complex environments.

Responsibilities

• 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 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 SIT/UAT testing, reconciliation, and data quality validation.
• Provide post-go-live and hypercare support.
• Contribute to knowledge transfer sessions and support teams.
• Follow SDLC and lifecycle management processes.

Skills

Data Architecture

SAP Datasphere

SQL

Data Modeling

ELT/ETL

Data Pipelines

Data Migration

Data Quality

API Integration

Performance Optimization

Education

Bachelor's degree in CS/IT or related field

Tools

Power BI

BusinessObjects

Cloud Data Warehouses

Data Lakes

Job description

• 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

• 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

Core Competencies

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 Expertise
• SAP Datasphere Proficiency
• Data Modeling Skills
• SQL Proficiency
• Data Migration Experience

ATS Optimization Keywords

Hard Skills

• Data Architecture
• Data Modeling
• Data Migration
• SQL
• ELT/ETL
• API Integration
• Data Quality
• Data Transformation
• Data Pipelines
• Performance Optimization

Soft Skills

• Communication Skills
• Cross-Functional Collaboration
• Multicultural Teamwork

Industry Keywords

• Enterprise Analytics Solutions
• ERP Modernization
• Regulated Environments
• SIT/UAT Testing
• Data Integration Patterns

Tools & Technologies

• SAP Datasphere
• Power BI
• BusinessObjects
• Cloud Data Warehouses
• Data Lakes