Sr. Data Architect / Modeler

This is a full-time position with D Square Consulting Services Pvt Ltd. As a Senior Data Architect / Modeler, you will collaborate closely with various business partners, product owners, data strategy, data platform, data science, and machine learning teams to innovate data products for end users. Your role will involve shaping the overall solution architecture and defining models for data products using best-in-class engineering practices. By working with stakeholders, you will comprehend business requirements and design/build data models that support acquisition, ingestion processes, and critical reporting and insight needs. To be successful in this role, you must have a minimum of 12 years of experience, with at least 7 years in Data & Analytics initiatives. You should possess a deep understanding of how data architecture and modeling facilitate data pipelines, data management, and analytics. Additionally, you need 5+ years of experience in data architecture & modeling within Consumer/Healthcare Goods industries and hands-on experience in Cloud Architecture (Azure, GCP, AWS) and related databases like Synapse, Databricks, Snowflake, and Redshift. Proficiency in SQL and familiarity with data modeling tools like Erwin or ER Studio is crucial. Your responsibilities will include leading data architecture and modeling efforts in collaboration with engineering and platform teams to develop next-generation product capabilities that drive business growth. You will focus on delivering reliable, high-quality data products to maximize business value and work within the DevSecOps framework to enhance data & analytics capabilities. Collaborating with Business Analytics leaders, you will translate business needs into optimal architecture designs and design scalable and reusable models for various functional areas of data products while adhering to FAIR principles. In this role, you will also collaborate with data engineers, solution architects, and other stakeholders to maintain and optimize data models. You will establish trusted partnerships with Data Engineering, Platforms, and Data Science teams to create business-relevant data models and ensure the maintenance of Metadata Rules, Data Dictionaries, and associated lineage details. Additionally, staying updated with emerging technologies and mentoring other data modelers in the team will be a part of your responsibilities. Qualifications for this position include an undergraduate degree in Technology, Computer Science, Applied Data Sciences, or related fields, with an advanced degree being preferred. Experience in NoSQL and graphDB databases, as well as hands-on experience with data catalogs like Alation, Collibra, or similar tools, is beneficial. You should have a strong ability to challenge existing technologies and architecture while effectively influencing across the organization. Lastly, experience in a diverse company culture and a commitment to inclusion and equal-opportunity employment are desired traits for this role.,