Job Title: Senior Data Architect

Location: India (Remote)

Duration: 6 Months(Contract)

Note: This is a Contract Role For 6 Months

Job duties and responsibilities

Strategic Data Architecture & Platform Vision

- Define and articulate the long-term data architecture vision aligned with business strategy
- Design comprehensive enterprise data architecture leveraging a medallion architecture (bronze/silver/gold zones)

for optimal data organization and governance
- Establish architectural standards, principles, and patterns for data ingestion, processing, storage, access controls,

and quality management
- Design overall data architecture, architect data mesh patterns where appropriate, organizing data around business domains while maintaining centralized governance and platform standards
- Evaluate and recommend technology investments, infrastructure choices, and platform capabilities to support current and future organizational needs
- Develop a strategic data platform roadmap spanning 1-3 years with phased implementation, measurable milestones,

and clear business value articulation
- Design scalable multi-region, multi-tenant platform architecture supporting diverse data domains, high-volume data processing, and real-time analytics
- Conduct regular architecture reviews and optimization, identifying opportunities for performance enhancement,

cost reduction, and modernization.

Team Leadership & Development

- Lead, mentor, and develop the Data Platform DevOps Engineer and full-stack data engineering and report development team, fostering technical excellence and professional growth
- Establish clear role definitions, responsibilities, and expectations for team members, supporting career development pathways
- Provide technical leadership through data model and code reviews, architecture assessments, and knowledge sharing sessions on design patterns and best practices
- Create structured mentoring programs addressing both technical skill development and leadership competencies for high-potential team members
- Conduct technical interviews and participate in hiring to build a cohesive, skilled team aligned with architectural vision
- Foster a team-oriented culture emphasizing continuous learning, innovation, quality, and adherence to architectural standards
- Balance hands-on technical work with leadership responsibilities, maintaining credibility while delegating appropriately
- Support the team with clear boundaries, autonomy, and creative problem-solving within governance frameworks

Platform Architecture & Design Leadership

- Lead end-to-end system design for complex data solutions across Microsoft Fabric and Microsoft Azure platform components
- Make critical technology selection decisions regarding Fabric items (Lakehouses, Warehouses, Data Factory, Power

BI, Real-Time Intelligence), infrastructure, and tools
- Design role-based access control (RBAC), data security models,



and governance frameworks aligned with sensitive data requirements
- Architect data quality frameworks, testing standards, and metadata management approaches ensuring consistency and reliability
- Guide implementation of complex data integration patterns between enterprise systems and external data sources
- Oversee system integration and ensure seamless communication between platform components, maintaining architectural coherence
- Establish patterns for scalability, performance optimization, disaster recovery, and business continuity

Governance & Standards

- Support development and implementation of organizational data governance framework including policies,

standards, and compliance requirements
- Work with data governance and compliance teams to establish architectural guardrails and ensure regulatory adherence
- Create comprehensive documentation standards for architecture decisions, technical designs, security controls, and operational procedures
- Define and monitor key performance indicators (KPIs) for data platform quality, reliability, performance, and cost
- Establish change management and governance processes for architecture reviews, platform evolution, and technology decisions.

Platform Engineering & DevOps Leadership

- Oversee design and implementation of CI/CD pipelines, infrastructure automation, and deployment strategies for

Microsoft Fabric

- Ensure platform engineering best practices including observability, monitoring, alerting, and incident response frameworks are implemented
- Guide the DevOps engineer in establishing platform maintenance procedures, capacity planning, and operational excellence
- Review and optimize platform infrastructure design, cost efficiency, and resource utilization strategies
- Ensure disaster recovery and business continuity strategies are designed, tested, and maintained

Stakeholder Management & Communication

- Develop and maintain stakeholder communication strategy aligned with organizational priorities and decision making needs
- Create tailored architectural views for different stakeholder groups including executives, business units, and technical teams
- Present architectural recommendations and technical strategies to executive leadership, translating complex technical concepts to business impact
- Facilitate cross-functional collaboration between data platform team, data product teams, business units, and DT governance
- Serve as the technical authority on data architecture, driving organizational conversations on data strategy alignment and technical standards




- Establish clear communication cadences and channels for different stakeholder groups (executive updates, team briefings, documentation)
- Build and maintain partnerships with cloud providers, vendors, and technology partners to stay current on innovation

Data Architecture Strategy & Roadmap Development

- Contribute to the overall data strategy aligned with business objectives
- Define organizational capability building needs including platform enablement, team skill development, and process improvements
- Regularly reassess strategy based on evolving business needs, technological advancements, and lessons learned
- Monitor emerging technologies and industry trends in data platforms, architecture patterns, and analytics
- Foster a culture of continuous improvement, encouraging experimentation and calculated risk-taking within governance boundaries, supporting innovation
- Establish knowledge management practices capturing architectural decisions, lessons learned, and best practices
- Lead data architecture work and define data architecture and data modelling standards across the organization

Required Skills

- 10+ years of experience in data architecture, data engineering, or enterprise architecture
- roles
- 5+ years of experience leading technical teams, managing engineers, and driving
- architectural decisions in enterprise environments
- 5+ years of hands-on experience with modern cloud platforms (Azure, AWS, or GCP)
- 3+ years of experience with Microsoft Azure and Microsoft Fabric or related Microsoft
- data solutions, including OneLake, Lakehouses, Warehouses, Data Factory, Power BI,
- Real-Time Intelligence, and Azure Synapse
- Proven track record designing and implementing enterprise-scale data architectures
- supporting complex, mission-critical operations
- Demonstrated ability to translate business requirements into scalable, secure technical
- solutions
- Understanding of CI/CD practices, Azure DevOps repos (repos (git) and pipelines) and
- pipelines, MMicrosoft Entra service principals, and IaC icrosoft Entra service principals,
- and IaC infrastructure automation (Terraform, ARM templates)
- Experience with data quality frameworks, testing standards, and metadata management
- Experience implementing self-service data platforms and data literacy programs
- Experience implementing data mesh architectures in large, complex organizations
- Proficiency in designing scalable ETL/ELT architectures and data pipeline orchestration
- strategies
- Experience developing data pipelines in PySpark and SQL
- Experience with Azure Function Apps and Kubernetes and cloud Kubernetes services
- (AKS, EKS, GKE)
- Experience with report development (Power BI or Tableau or similar products)
- Background in multi-region or multi-cloud data architecture deployments
- Proven track record in building, leading and coaching high-performing technical teams
- with diverse skill sets

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