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Pull Logic
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Kochi · On-site · 10-13 Yrs · Oct 20
1 views
1 open role1 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Pull Logic is transforming the supply chain with a revolutionary availability-oriented paradigm that connects customer demand, inventory, supply, and operational decisions.
Responsibilities
- Establish robust data quality frameworks covering schema validation, completeness, referential integrity, business-rule validation, statistical anomalies, data freshness, and reconciliation. Design scalable data structures optimized for large-scale supply-chain analytics, forecasting, simulation, optimization, and AI workloads. Define appropriate table structures, partitioning strategies, incremental-load approaches, indexing, and performance optimization techniques.
- Drive adoption of modern Lakehouse and open-table architectures, including Apache Iceberg and cloud object storage. Establish standards for metadata management, data lineage, schema evolution, auditability, versioning, and data governance. Collaborate closely with Data Science, AI Engineering, Platform Engineering, Product, Customer Engineering, and Customer Success teams to ensure data architecture supports both current product requirements and future platform capabilities.
- Partner with customer technical and business teams to understand their systems, source data structures, supply-chain processes, data semantics, and data-quality issues. Lead technical data-discovery sessions during enterprise customer onboarding and translate business terminology into scalable technical data models. Identify opportunities to reduce customer-specific engineering through reusable connectors, mappings, canonical transformations, and common data services.
- Establish data engineering and modeling best practices including code reviews, testing standards, documentation, naming conventions, observability, and release management.
- Mentor Data
- Engineers and contribute to building a strong data architecture and engineering competency within Pull Logic. Ensure data architecture and engineering practices align with enterprise security, governance, and SOC 2 expectations. What We're Looking For10+ years of overall experience in Data Architecture, Data Modeling, Data Engineering, Data Platforms, or related disciplines.
- Minimum 5+ years of experience in senior Data Architecture / Data Modeling roles, preferably supporting large-scale enterprise platforms. Proven experience designing and implementing enterprise canonical data models and reusable data architectures. Strong experience understanding customer/source-system data and translating it into standardized business and analytical models.
- Demonstrated ability to work directly with complex enterprise datasets and independently understand their business meaning, relationships, grain, keys, quality issues, and transformation requirements. Strong knowledge of conceptual, logical, and physical data modeling.
- Deep understanding of: relational data modeling, dimensional modeling, canonical data modeling, master and reference data, Slowly Changing Dimensions, event and transactional data modeling, data contracts, and metadata and lineage. Strong hands-on expertise with: SQL, Python, data transformation and ETL/ELT frameworks, cloud object storage such as GCS or S3, large-scale relational and analytical databases, API and file-based data integrations, and batch and incremental data processing.
Qualifications
- Logic?Be part of a mission-driven company redefining supply chain intelligence for the retail world. Own and shape the data architecture behind enterprise-scale supply-chain planning, optimization, analytics, and AI products. Work on cutting-edge technology with real-world impact and high visibility.
- Work at the intersection of Data Architecture, Supply Chain, Optimization, Machine Learning, and Agentic AI. Collaborate with researchers and engineers from Georgia Tech, one of the top engineering schools in the world. Grow with a dynamic, fast-paced team and play a key role in building the future of our platform.
- Performance-based ESOP opportunities for exceptional contributors who help drive Pull Logic's success and growth.
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Job application FAQ
Last updated 25 October 2026
- How do I apply for Sr. Data Architect – Supply Chain & Data Engineering at Pull Logic?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Pull Logic may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Sr. Data Architect – Supply Chain & Data Engineering role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Sr. Data Architect – Supply Chain & Data Engineering remote or on-site in Kochi, Keralam?
- This listing is marked on_site with location Kochi, Keralam. Confirm details on the job description before applying.
- What skills matter for this Sr. Data Architect – Supply Chain & Data Engineering role at Pull Logic?
- This is a senior Sr. Data Architect – Supply Chain & Data Engineering role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.