Data Analytics Architect

Job Summary

We are seeking a Data Analytics Architect with 15+ years of experience to lead and architect enterprise-wide data and analytics solutions. This is a hands-on leadership role requiring deep technical expertise, strategic vision, and the ability to design, build, and scale modern data platforms.

The ideal candidate combines executive-level leadership with strong technical execution capabilities, driving data strategy, governance, advanced analytics, and AI initiatives while actively contributing to architecture, solution design, and critical implementations.

Key Responsibilities

Strategic Leadership

• Define and execute enterprise data & analytics strategy aligned with business goals
• Establish a scalable data architecture roadmap (cloud, hybrid, or on-prem)
• Drive data-driven decision-making culture across the organization
• Partner with C-level stakeholders to identify high-impact analytics opportunities

Architecture & Technical Execution (Hands-On)

• Design and oversee modern data platforms (Data Lake, Data Warehouse, Lakehouse architectures)
• Architect real-time and batch data pipelines
• Lead implementation of scalable ETL/ELT frameworks
• Design data models, semantic layers, and analytics frameworks
• Implement data governance, quality, security, and compliance frameworks
• Actively review code, optimize performance, and guide engineering best practices

Advanced Analytics & AI

• Lead development of advanced analytics, predictive modeling, and AI/ML solutions
• Enable self-service BI and advanced reporting capabilities
• Drive experimentation, A/B testing, and data science initiatives

Team & Organizational Leadership

• Build, mentor, and lead high-performing data engineering, BI, and data science teams
• Define best practices for data lifecycle management
• Establish KPIs and performance metrics for analytics initiatives
• Manage vendor relationships and technology evaluations

Required Qualifications

• 15+ years of experience in Data Engineering, Analytics, and Architecture
• Proven experience in building enterprise-scale data platforms
• Strong hands-on expertise in:
• Cloud platforms (AWS, Azure, or Google Cloud Platform)
• SQL and NoSQL databases
• ETL/ELT tools and data pipeline frameworks
• Data modeling and warehousing concepts
• BI platforms (Power BI, Tableau, Looker, etc.)
• Experience with big data technologies (Spark, Hadoop ecosystem, etc.)
• Strong programming experience (Python, SQL, Scala, or similar)
• Experience with data governance, security, and regulatory compliance
• Demonstrated leadership experience managing cross-functional teams

Preferred Qualifications

• Experience implementing modern Lakehouse architectures
• Exposure to real-time streaming (Kafka, Kinesis, etc.)
• AI/ML deployment experience (MLOps frameworks)
• Experience in multi-region/global data environments
• Industry experience in Finance, Healthcare, Retail, or Manufacturing
• Master s degree in Data Science, Computer Science, Engineering, or related field

Key Competencies

• Strategic and architectural thinking
• Deep technical credibility with engineering teams
• Strong business acumen
• Executive-level communication and stakeholder management
• Ability to balance innovation with operational stability
• Results-driven and outcome-focused leadership