While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth. If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi! Role: Technical Architect- Data Experience: 8-10+ Years Work Location: Bangalore / Mumbai Timings: 11AM - 7PM IST Key Responsibilities • Design, develop, and maintain scalable data engineering and analytics solutions for enterprise data platforms. • Build and optimize ETL/ELT pipelines for ingestion, transformation, and processing of large-scale structured and unstructured data. • Develop conceptual, logical, and physical data models including metadata, lineage, and technical definitions. • Architect and implement data warehouse and data lake solutions. • Define architecture standards, blueprints, accelerators, and interoperability patterns. • Work closely with Product Owners, Business Analysts, Data Architects, Data Scientists, and BI teams to translate business requirements into technical solutions. • Design and implement dimensional models, fact tables, and data transformation/cleansing processes. • Develop scalable and high-performance data processing pipelines for enterprise reporting and analytics. • Ensure data governance, data quality, security, privacy, and lifecycle management standards are implemented. • Provide production support for ETL processes and ensure data availability and integrity. • Create technical documentation, data flow diagrams, and architecture artifacts. • Conduct solution reviews and ensure compliance with enterprise architecture standards. • Mentor and guide data engineers and technical teams across multiple locations. • Support evaluation and implementation of emerging technologies and lead proof-of-concept initiatives. Required Skills & Experience: Data Engineering & Database Skills • Strong experience in Data Warehousing, Data Engineering, and Data Integration projects. • Expertise in ETL/ELT frameworks, OLAP systems, Data Lakes, and enterprise data platforms. • Strong SQL programming and query optimization skills. • Experience with: • Oracle PL/SQL • MS SQL Server • PostgreSQL • MySQL • Strong understanding of database design, data modeling, and architecture principles. • Cloud & Big Data Technologies Hands-on experience with: • Google Cloud Platform (GCP) • BigQuery • Cloud SQL • Composer (Airflow) • Dataflow • Dataproc • Cloud Functions • Google Cloud Storage (GCS) Experience with Azure technologies including: • Azure Data Factory (ADF) • Azure Data Lake Storage (ADLS) • Databricks Knowledge of AWS cloud services is a plus. Integration & Data Tools • Experience with Informatica and PowerExchange integrations. • Experience integrating data from Mainframe, Salesforce, ERP, CRM, HRIS, and other enterprise systems. • Strong knowledge of APIs, XML, JSON, and modern data integration techniques. • Good to have: • SQL Server Reporting Services (SSRS) • SQL Server Integration Services (SSIS) • Dremio Architecture & Governance • Experience defining enterprise data architecture and reference frameworks. • Knowledge of data governance, metadata management, master/reference data, and data quality practices. • Experience implementing security controls and privacy standards for sensitive data. • Ability to perform sizing, estimation, and costing for data solutions. Soft Skills ● Strong analytical and problem-solving abilities. ● Excellent communication and stakeholder management skills. ● Experience working in Agile and Scrum environments. ● Ability to lead distributed teams and mentor engineers across locations. ● Strong organizational and multitasking capabilities. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!