Here is the Job Description:
Job Title: Data Architect
Type: Remote
Length: 6 Months Contract
Role Overview: We are seeking an experienced Big Data Architect to design and scale enterprise data platforms that power analytics, reporting, and AI-driven use cases. This role will define the target-state data architecture, guide engineering teams, and ensure data platforms are secure, scalable, and aligned with business priorities. The ideal candidate brings deep expertise in modern cloud-based data architectures, strong hands-on experience with the Microsoft data stack, and a proven ability to translate business needs into robust, production-grade data solutions.
Key Responsibilities
Enterprise Data Architecture
- Define and evolve the organization’s enterprise data architecture and platform strategy
- Design scalable, resilient, and cost-efficient data platforms supporting both operational and analytical workloads
- Establish architecture standards, integration patterns, and best practices for enterprise data environments
Platform & Technology Leadership
- Architect and guide implementation of solutions using the Microsoft Azure data ecosystem
- Lead design of:
- Enterprise data lakes and modern data warehouse platforms
- Lakehouse and hybrid data architectures
- Batch and real-time data processing frameworks
- Data integration and transformation pipelines
Data Engineering & Integration
- Provide architectural oversight for ETL/ELT pipelines, data ingestion frameworks, and streaming solutions
- Ensure seamless integration across enterprise applications, SaaS platforms, and external data sources
- Optimize performance, scalability, and cost of large-scale data workloads
Data Governance & Security
- Embed data governance, quality, lineage, and monitoring into platform design
- Ensure data solutions comply with enterprise security, privacy, and regulatory requirements
- Implement access controls, encryption standards, and secure data sharing mechanisms
Analytics & AI Enablement
- Design data platforms that support advanced analytics, BI, and AI/ML workloads
- Enable scalable access to trusted data for analytics, reporting, and data science teams
- Support self-service analytics while maintaining governance and control
Stakeholder & Delivery Leadership
- Partner with business, analytics, and IT stakeholders to align data architecture with strategic priorities
- Provide technical leadership and guidance to data engineering and platform teams
- Contribute to solution design for transformation initiatives and large programs
Required Experience
- 10+ years of experience in data engineering, big data architecture, or enterprise analytics platforms
- Proven experience in architecting and modernising large-scale enterprise data environments
- Strong hands-on experience with Microsoft Azure data and analytics services
- Experience designing both batch and real-time data processing architectures
- Strong understanding of enterprise data modelling and integration patterns
Technical Skills
Cloud & Data Platforms
- Microsoft Azure data services (data storage, processing, orchestration, and analytics)
- Experience with modern data lake, lakehouse, and cloud data warehouse architectures
Data Engineering
- Distributed data processing frameworks (e.g., Spark or equivalent)
- Data ingestion, transformation, and orchestration tools
- Streaming and event-driven data processing technologies
Data Management
- Data quality, metadata management, and lineage solutions
- Data governance and compliance frameworks
- Data security and privacy architecture
Architecture & Integration
- API-driven data access and system integration patterns
- Scalable, modular, and cloud-native architecture design
- Performance tuning and cost optimization strategies
Key Competencies
- Strong enterprise architecture and systems thinking capability
- Ability to translate business requirements into scalable technical solutions
- Excellent communication skills with both technical and non-technical stakeholders
- Leadership ability to guide distributed engineering teams
- Strong documentation and governance discipline
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