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Senior Data
2 weeks ago
Overview
Reports To: Director, Data & AI Consulting
The Senior Data & Analytics Architect plays a pivotal role in designing and delivering enterprise-grade data solutions across global markets.
This role demands deep technical expertise in cloud-native platforms—particularly Databricks—alongside a strategic consulting mindset shaped by experience in Big 4 environments.
The architect will lead cross-functional teams, drive innovation, and ensure data platforms are scalable, secure, and aligned with business goals.
Responsibilities
Lead the design and implementation of lakehouse architectures using Databricks, Delta Lake, and Spark
Architect scalable data solutions across Azure, GCP, Snowflake, and AWS
Integrate data platforms with BI tools, ML pipelines, and enterprise systems
Consulting & Client Engagement
Deliver strategic data advisory services to clients across APAC, Europe, and North America
Translate complex business requirements into technical solutions
Present architecture roadmaps and governance frameworks to executive stakeholders
Platform Engineering & Operations
Establish DataOps functions for cloud-based platforms
Oversee CI/CD pipelines, DevOps automation, and MLOps enablement
Ensure platform reliability, performance, and cost optimization
Governance & Quality Assurance
Define and enforce data quality, lineage, and confidence frameworks
Conduct governance reviews and lead compliance initiatives
Develop monitoring dashboards using Power BI, Tableau, and Looker
Team Leadership & Delivery Management
Manage multi-disciplinary teams across geographies
Lead project planning, resource allocation, and delivery oversight
Mentor junior architects and engineers
Required Skills & Experience
13+ years in data architecture, engineering, and consulting
Proven experience in Big 4 or Tier 1 consulting firms
International project delivery experience across Australia, India, and global client bases
Deep expertise in Databricks, Spark, Delta Lake, MLflow
Strong command of Python, PySpark, SQL, Shell scripting
Hands-on experience with ETL tools (Informatica, Talend, IICS) and DevOps tools (Terraform, Airflow, Azure DevOps)
Familiarity with agile methodologies and enterprise data governance
Certifications
Snowflake SnowPro Core Certification
Education
Bachelor of Technology (B.Tech) in Computer Science
Preferred Attributes
Global mindset with cultural fluency across diverse teams
Executive presence and stakeholder engagement skills
Strategic thinker with a practical, delivery-focused approach
Seniority level
Director
Employment type
Full-time
Job function
Research, Analyst, and Information Technology
Industries
Technology, Information and Internet
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