We are looking for a highly experienced Senior Data Architect to define, design, and drive enterprise data architecture across data warehousing, cloud migration, integration, analytics, governance, and modern data-platform initiatives.
The selected candidate will be responsible for developing enterprise data-architecture strategies, defining reusable standards and patterns, reviewing technical designs, and guiding engineering teams in building scalable, secure, governed, and high-performing data platforms.
Job Details
Role: Senior Data Architect
Experience Required: 10+ years
Employment Type: Contract or Full-Time, depending on client engagement
Work Mode: Remote after completion of initial onsite onboarding
Initial Onsite Requirement: Up to one week at the client office
Notice Period: Immediate to 15 days preferred
Key Responsibilities
- Define and maintain the enterprise data-architecture strategy, principles, standards, reference architectures, and technology roadmaps.
- Design scalable architectures for enterprise data warehouses, data lakes, data marts, lakehouses, operational data stores, and analytical platforms.
- Develop conceptual, logical, and physical data models aligned with business capabilities and enterprise standards.
- Define dimensional, relational, normalized, denormalized, and analytical data-modelling patterns.
- Apply Kimball, Inmon, Data Vault, and hybrid data-warehousing methodologies based on business and technical requirements.
- Design batch, near-real-time, streaming, event-driven, API-based, and file-based data-integration architectures.
- Define ETL and ELT architecture patterns for enterprise data pipelines and transformation frameworks.
- Review data models, schemas, ETL/ELT pipelines, APIs, integration designs, and cloud data-platform implementations.
- Establish frameworks for data governance, metadata management, data lineage, master data, reference data, and data quality.
- Define data-security, privacy, access-control, encryption, retention, masking, and compliance requirements.
- Support legacy-to-cloud migration, data-platform modernization, and application-decommissioning programmes.
- Evaluate and recommend appropriate cloud services, databases, integration platforms, modelling tools, and data-governance technologies.
- Define performance, scalability, reliability, availability, disaster-recovery, and cost-optimization strategies.
- Conduct architecture assessments, solution-design reviews, technical-risk reviews, and architecture-governance sessions.
- Prepare architecture documents, data-flow diagrams, solution blueprints, integration patterns, technical standards, and migration roadmaps.
- Work closely with data engineers, data modellers, analytics teams, application teams, security teams, and business stakeholders.
- Mentor technical teams and ensure adherence to architecture principles, engineering standards, governance requirements, and industry best practices.
- Present architecture recommendations, design decisions, risks, trade-offs, and implementation roadmaps to senior leadership and client stakeholders.
Mandatory Skills and Experience
- 10+ years of overall experience in data engineering, data architecture, data warehousing, data integration, or related areas.
- Strong hands-on experience defining enterprise data architectures and architecture roadmaps.
- Deep understanding of data warehouses, data lakes, data marts, lakehouses, and modern cloud data platforms.
- Strong experience in conceptual, logical, and physical data modelling.
- Expertise in Kimball, Inmon, Data Vault, or hybrid data-warehousing methodologies.
- Strong knowledge of dimensional modelling, relational modelling, star schemas, snowflake schemas, and analytical data models.
- Experience designing batch, real-time, streaming, and event-driven integration solutions.
- Strong understanding of ETL, ELT, CDC, API integration, messaging, orchestration, and enterprise data-pipeline architecture.
- Experience implementing data-governance, metadata, lineage, data-quality, and stewardship frameworks.
- Strong knowledge of data security, privacy, regulatory compliance, role-based access control, encryption, and data masking.
- Advanced SQL skills and strong understanding of database design, indexing, partitioning, performance tuning, and workload optimization.
- Experience with cloud migration, legacy-system modernization, and enterprise data-platform transformation.
- Ability to evaluate architectural trade-offs related to scalability, performance, reliability, security, maintainability, and cost.
- Strong stakeholder-management, communication, documentation, and architectural decision-making skills.
- Experience leading design reviews and guiding data engineers, data modellers, and technical delivery teams.
Preferred Skills
Experience in one or more of the following areas will be an added advantage:
- AWS, Microsoft Azure, or Google Cloud Platform
- Snowflake, Databricks, Microsoft Fabric, BigQuery, Redshift, or Synapse Analytics
- Data mesh and data-product architecture
- Data fabric architecture
- Master Data Management and reference-data architecture
- AI, machine learning, and generative AI data platforms
- Kafka, event streaming, and real-time data-processing platforms
- API management and microservices-based integration
- Data cataloguing, metadata, observability, and lineage tools
- ERwin, SAP PowerDesigner, Sparx Enterprise Architect, ArchiMate, or similar modelling tools
- Collibra, Alation, Microsoft Purview, Informatica, or similar governance platforms
- Experience working in regulated industries such as banking, financial services, insurance, healthcare, or pharmaceuticals
Required Deliverables
The Senior Data Architect may be expected to prepare and maintain:
- Enterprise data-architecture documents
- Current-state and target-state architecture diagrams
- Data-platform reference architectures
- Conceptual, logical, and physical data models
- Source-to-target mapping standards
- Data-flow and integration diagrams
- Architecture decision records
- Security and governance design documents
- Migration and modernization roadmaps
- Data-quality and metadata frameworks
- Technical standards and reusable architecture patterns
- Capacity, performance, and cost-optimization recommendations
Education
A bachelor’s or master’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related discipline is preferred.
Relevant cloud, architecture, data-management, or governance certifications will be advantageous.
Mandatory Employment Conditions
- Complete employment history must be available and verifiable.
- PF documentation is mandatory for applicable previous employment.
- Background verification is mandatory.
- The selected candidate must be available for up to one week of onsite onboarding.
- The onsite process may include laptop collection, identity verification, documentation, orientation, and system-access formalities.
- The position will become remote after successful completion of the initial onsite process.
Candidate Submission Details
Interested candidates should share their updated resume along with the following information:
- Total professional experience
- Relevant data-architecture experience
- Current location
- Notice period
- Current compensation
- Expected compensation
- PF availability
- LinkedIn profile
- Availability for initial onsite onboarding
Email: [email protected]
Website: www.asyvainfotech.com
Pay: ₹70,000.00 - ₹80,000.00 per month
Benefits:
- Flexible schedule
- Work from home
Work Location: Remote
