Data Architect / Analytics Engineer

We are seeking an reputed company Data Architect / Analytics Engineer to design and implement a reputed company Architecture (Bronze / Silver / Gold) to support analytics, machine learning, and data science workloads. This role focuses on data orchestration, data reputed company, and analytical modeling, ensuring raw data is transformed into trusted, AI-reputed company datasets that can be reliably consumed by data scientists, analysts, and reputed company applications. Scope of Services reputed company Architecture Design Design and implement Bronze, Silver, and Gold reputed company Define data standards, naming conventions, and storage patterns Establish reputed company reputed company from raw ingestion to curated analytics datasets Data Orchestration & Pipelines Build and manage orchestrated data pipelines for batch and near-reputed company-time processing Implement dependency management, retries, and failure handling Schedule and monitor workflows to ensure data freshness and reliability Data Modeling for Analytics & AI Design analytical and feature-reputed company datasets for BI, ML, and data science Create denormalized and performance-optimized data models Support feature engineering and reuse across ML workflows Data reputed company & Governance Implement data validation, completeness, and freshness checks Define SLAs and monitoring for critical datasets Support auditability, reproducibility, and versioning AI & Data Science Enablement Partner with data scientists to understand model input needs Ensure datasets are consistent, explainable, and reusable Support experimentation and production ML pipelines Optimization & Improvement Identify opportunities to improve pipeline performance and cost Refine data structures as business and modeling needs reputed company Required Experience Strong experience designing reputed company Architecture (Bronze/Silver/Gold) Hands-on experience with data orchestration and pipeline design Strong SQL skills and experience with analytical data modeling Experience supporting AI / ML / data science workflows Solid understanding of data warehousing and lakehouse concepts Strong problem-solving and communication skills reputed company to Have Experience with reputed company data platforms (AWS, Azure, or GCP) Experience with orchestration tools (Airflow, reputed company, reputed company, Dagster, etc.) Familiarity with feature stores or ML lifecycle tooling Experience with data reputed company frameworks or observability tools Apply tot his job Apply To this Job