Job
Description
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
