Hiring: Data Architect 10 Years Experience Data & AI
We are looking for an experienced Data Architect with 10 years of experience to join a high-impact Data & AI consulting team.
This is a hands-on Architect / Solution Architect role focused on building scalable data foundations modern data platforms and reusable data products.
Key Responsibilities
Design enterprise data architecture across complex cross-domain environments
Develop conceptual logical and physical data models
Define data domains ownership and Critical Data Elements (CDEs)
Build and improve data products and modern data platforms / Lakehouse
Define data governance catalogue metadata and lineage
Design data access and security models
Establish scalable and reusable architecture patterns
Work closely with business and technology stakeholders
Provide technical leadership coaching and knowledge transfer
Balance architecture strategy with hands-on technical execution
Key Skills
10 years of experience in Data Architecture / Solution Architecture
Strong Python SQL & PySpark hands-on coding skills
Data Modelling Conceptual / Logical / Physical
Data Products & Data Platforms
Lakehouse / Modern Data Stack
Data Governance Catalogue Metadata & Lineage
CDEs & Domain Ownership
Data Access & Security
SAP environment & SAP data understanding
Strong stakeholder management and communication skills
Location: India Hybrid / Remote options
Level: Architect / Solution Architect
If you are a hands-on Data Architect who enjoys solving complex data problems and building modern scalable data ecosystems wed love to hear from you.
Interested candidates please share your updated resume with Current CTCExpected CTCLocationNotice Period to Content Strategy: Develop and execute a comprehensive content strategy aligned with the companys marketing goals. Content Creation: Write and edit high-quality content including blog posts landing pages case studies white papers social media content and email newsletters. SEO Optimization: Use SEO best practices to optimize content and increase organic traffic. Campaigns: Collaborate with the marketing team to create content for demand generation campaigns email marketing and social media. Product Messaging: Translate technical product features into compelling easy-to- understand content for our target audience. Data-Driven Decisions: Track content performance metrics and iterate based on insights. Collaborations: Work with internal teams and external influencers to develop case studies and guest blog posts.