Senior Data Engineer – Data Modeling & Architecture
Location: Bengaluru, Gurgaon, Pune
Job code: 101445
Posted on: Mar 13, 2026
About Us:
AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy & architecture, digital transformation, data engineering & analytics, AI/ML, cloud & infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet’s marquee clients include Tier-1 and Tier-2 banking & financial services, asset & wealth management, healthcare, consumer retail, eCommerce & logistics, engineering, government & public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon & Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.
Job Summary
We are looking for a Senior Data Engineer with a strong focus on data modeling and data architecture to help design scalable, efficient, and reusable data foundations across heterogeneous data sources. While a solid data engineering foundation is required, having experience re-modeling data to support cross-domain analytics, standardization, and enterprise-scale use cases—particularly in environments where multiple standards, regions, or business units must be harmonized. Experience with Palantir Foundry and ontology development is a strong plus.
Key Responsibilities:
* Design and implement enterprise-grade data models that unify data from multiple source systems, standards, and regions into a common, reusable structure
* Lead or contribute to re-architecture and re-modeling initiatives, transforming legacy or siloed data into scalable, analytics-ready models
* Work across business domains to define canonical entities, relationships, and hierarchies
* Build data solutions that support cross-refinery, cross-region, or cross-organization analytics
* Collaborate with platform, analytics, and business teams to ensure data models are:
• Intuitive for consumption
• Efficient for performance and scalability
• Flexible enough to accommodate regional or operational variations
* Ensure best practices around data governance, consistency, lineage, and semantic clarity
* Support downstream use cases including analytics, reporting, AI/ML, and operational insights
* Combining data from multiple refineries or plants, each operating with different data standards, into a unified enterprise data model
* Aggregating data across financial institutions, regions, or business units (e.g., multiple banks, countries, or regulatory frameworks)
* Standardizing and modeling data from retail networks, such as:
• Multiple stores across countries with varying schemas
• Data aggregation across different brands or suppliers (e.g., combining data from different retailers or partners)
* Designing models that enable apples-to-apples comparisons across entities that were not originally designed to align
Role Requirements and Qualification:
* Strong foundation in Data Engineering (ETL/ELT, pipelines, data integration)
* Deep experience in data modeling and data architecture, including:
• Conceptual, logical, and physical data models
• Canonical data models and semantic layers
* Proven experience re-modeling data rather than performing pure lift-and-shift migrations
* Experience working with complex, heterogeneous data ecosystems
* Strong SQL skills and experience working with modern data platforms (cloud or hybrid)
* Ability to translate business concepts into well-structured data entities and relationships
Preferred / Nice-to-Have
* Palantir Foundry experience, especially:
* Ontology development
* Object, relationship, and action modeling
* Experience in oil & gas, refining, energy, financial services, or large-scale retail
* Exposure to domain-driven design or semantic data modeling approaches
* Experience supporting enterprise analytics or AI/ML use cases
* Strong communication skills and ability to work with business and technical stakeholders
Why Join Us:
* Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.
* Continuous investment in employee growth and professional development with a strong focus on up & re-skilling.
* Competitive compensation & benefits, ESOPs and international assignments.
* Supportive environment with healthy work-life balance and a focus on employee well-being.
* Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.
How to Apply:
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.
