Data Architect

Job Title: Data Architect

Location: Hyderabad, Chennai & Bangalore

Exprience: 10+ Years

Job Summary

We are seeking a highly experienced and strategic Data Architect to lead the design and implementation of robust data architecture solutions. The ideal candidate will have a deep understanding of data modelling, governance, integration, and analytics platforms. As a Data Architect, you will play a crucial role in shaping the data landscape across the organization, ensuring data availability, consistency, security, and quality.

Mandatory Skills

• Enterprise data architecture and modeling
• Cloud data platforms (Azure, AWS, GCP)
• Data warehousing and lakehouse architecture
• Data governance and compliance frameworks
• ETL/ELT design and orchestration
• Master Data Management (MDM)
• Databricks architecture and implementation
  
  

Key Responsibilities

• Lead, define, and implement end-to-end modern data platforms on public cloud using Databricks
• Design and manage scalable data models and storage solutions
• Collaborate with enterprise architects, data architects, ETL developers & engineers, data scientists, and information designers to define required data structures, formats, pipelines, metadata, and workload orchestration capabilities
• Establish data standards, governance policies, and best practices
• Oversee the integration of new data technologies and tools
• Lead the development of data pipelines, marts, and lakes
• Ensure data solutions are compliant with security and regulatory standards
• Address aspects such as data privacy & security, data ingestion & processing, data storage & compute, analytical & operational consumption, data modeling, data virtualization, self-service data preparation & analytics, AI enablement, and API integrations
• Mentor data engineers and developers on best practices
  
  

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
• Relevant certifications in cloud platforms, data architecture, or governance
  
  

Technical Skills

• Data Modelling: Conceptual, Logical, Physical modelling (ERwin, Power Designer, etc.)
• Cloud: Azure (ADF, Synapse, Databricks), AWS (Redshift, Glue), GCP (Big Query)
• Databases: SQL Server, Oracle, PostgreSQL, NoSQL (MongoDB, Cassandra)
• Data Integration: Informatica, Talend, Apache NiFi
• Big Data: Hadoop, Spark, Kafka
• Governance Tools: Collibra, Alation, Azure Purview
• Scripting: Python, SQL, Shell
• DevOps/DataOps practices and CI/CD tools
  
  

Soft Skills

• Strong leadership and stakeholder management
• Excellent communication and documentation skills
• Strategic thinking with problem-solving ability
• Collaborative and adaptive in cross-functional teams
  
  

Good to Have

• Experience in AI/ML data lifecycle support
• Exposure to industry data standards and frameworks (TOGAF, DAMA-DMBOK)
• Experience with real-time analytics and streaming data solutions
  
  

Work Experience

• Minimum 10 years in data engineering, architecture, or related roles
• At least 5 years of hands-on experience in designing data platforms on Azure
• Demonstrated knowledge of 2 full project cycles using Databricks as an architect
• Experience supporting and working with cross-functional teams in a dynamic environment
• Advanced working SQL knowledge and experience working with relational databases and unstructured datasets
• Experience with stream-processing systems such as Storm, Spark-Streaming
  
  

Compensation & Benefits

• Competitive salary and annual performance-based bonuses
• Comprehensive health and optional Parental insurance.
• Retirement savings plans and tax savings plans.
• Work-Life Balance: Flexible work hours
  
  

Key Result Areas (KRAs)

• Effective implementation of scalable and secure data architecture
• Governance and compliance adherence
• Standardization and optimization of data assets
• Enablement of self-service analytics and data democratization
  
  

Key Performance Indicators (KPIs)

• Architecture scalability and reusability metrics
• Time-to-delivery for data initiatives
• Data quality and integrity benchmarks
• Compliance audit outcomes
• Satisfaction ratings from business stakeholders
  
  

Contact: hr@bigtappanalytics.com