Role Overview:We are looking for an experienced Data Architect with strong expertise in Snowflake, up-to-date cloud data platforms, and Business Intelligence (BI). The ideal candidate will own end-to-end data architecture, design scalable data engineering and analytics solutions, and translate complex business requirements into reliable, high-performance data platforms. The role requires a combination of hands-on technical architecture, BI and semantic modelling expertise, stakeholder management, and technical leadership.Key Responsibilities:1. Data Architecture & Platform Design:- Define end-to-end enterprise data architecture, including modern data warehouses, data lakes, and Lakehouse platforms.- Design scalable, secure, and cost-effective data solutions using Snowflake and/or Databricks.- Establish data modeling standards, architecture principles, integration patterns, and technology best practices.- Design data platforms using Medallion Architecture (Bronze, Silver, Gold), dimensional modelling, and enterprise data models.- Evaluate technology choices and recommend suitable architectural solutions based on business and technical requirements.2. Snowflake & Data Engineering:- Architect data ingestion, transformation, and processing pipelines using SQL, Python, Spark, and relevant cloud-native services.- Design ELT/ETL frameworks and orchestrate data workflows across multiple enterprise systems.- Optimize query performance, compute utilization, storage, scalability, and platform costs.- Define approaches for batch and real-time/streaming data processing where required.- Establish engineering standards for reusable pipelines, testing, monitoring, CI/CD, and deployment.3. Business Intelligence & Analytics:- Design enterprise BI architecture,



reporting frameworks, and self-service analytics solutions.- Strong expertise in at least one BI platform, such as Power BI, Tableau, or Qlik.- Define semantic models, dimensional models, metrics, KPIs, and business calculation standards.- Establish governed datasets, reusable business measures, and consistent reporting definitions across business functions.- Optimize BI performance, dashboard responsiveness, data refresh, and large-scale reporting workloads.- Partner with business stakeholders to translate analytical requirements into actionable insights and reporting solutions.4. Data Governance, Quality & Security:- Define data governance, data quality, metadata management, lineage, and master/reference data standards.- Implement appropriate data access controls, role-based security, masking, encryption, and compliance controls.- Establish data validation and reconciliation frameworks to ensure accuracy, consistency, and reliability.- Promote trusted, discoverable, and reusable enterprise data assets.5. Technical Leadership & Stakeholder Management:- Lead architecture discussions, technical design reviews, and solution walkthroughs.- Work closely with business leaders, product owners, data engineers, BI developers, and cloud teams.- Mentor engineering teams and establish coding, modeling, documentation,



and architecture best practices.- Support presales activities, solution proposals, effort estimation, and technical presentations where required.- Evaluate emerging technologies and identify opportunities to integrate AI/GenAI into data and analytics platforms.Required Skills & Experience:- 10 - 15+ years of experience in data engineering, data architecture, data warehousing, and analytics.- Strong hands-on architecture expertise in Snowflake.- Excellent SQL skills and experience with Python, PySpark, or equivalent data processing technologies.- Strong understanding of cloud platforms such as Azure, AWS, or GCP.- Expertise in data modeling, dimensional modeling, data warehousing, lakehouse architecture, and ETL/ETL patterns.- Strong BI expertise in Power BI, Tableau, or Qlik, including semantic modeling, KPI design, and performance optimization.- Experience designing and implementing enterprise-scale data platforms and integrating data from multiple source systems.- Knowledge of data governance, security, data quality, lineage, and CI/CD practices.- Strong communication, analytical, problem-solving, and stakeholder management skills.Preferred Qualifications:- Experience with DBT, Databricks Unity Catalog, Snowflake governance features, or comparable data management capabilities.- Knowledge of Microsoft Fabric, Azure Data Factory, AWS Glue, or similar data integration services.- Exposure to streaming technologies such as Kafka or cloud-native streaming services.- Experience with AI/ML platforms, GenAI-enabled analytics, or natural-language interfaces for BI.- Relevant Snowflake, Databricks, cloud, or BI certifications. (ref:hirist.tech)

📌 Data Architect - Snowflake DB (Hyderabad)
🏢 INUMELLAS CONSULTANCY SERVICES PRIVATE
📍 Hyderabad