Data Architect

Job Title: Designation: Data Architect

Company: Blumetra Solutions
Location: Hyderabad
Experience: 10-15 Years
Employment Type: Full-time

About Blumetra

Blumetra Solutions is an AI-native data and analytics company helping enterprises modernize their data platforms build scalable data engineering solutions and unlock business value through advanced analytics AI and cloud technologies.

Role Overview

We are looking for an experienced Data Architect with strong expertise in Snowflake and/or Databricks modern 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 modeling 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 modeling and enterprise data models.
• Evaluate technology choices and recommend suitable architectural solutions based on business and technical requirements.

2. Snowflake / Databricks & 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 and/or Databricks.
• 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/ELT 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.

Required Skills:

Data Architecture