Technical Architect - Data Engineering

As a Technical Architect- Data at Quantiphi, you will play a crucial role in designing, developing, and maintaining scalable data engineering and analytics solutions for enterprise data platforms. Your responsibilities will include: - Designing, developing, and maintaining scalable data engineering and analytics solutions. - Building and optimizing ETL/ELT pipelines for ingestion, transformation, and processing of large-scale structured and unstructured data. - Developing conceptual, logical, and physical data models including metadata, lineage, and technical definitions. - Architecting and implementing data warehouse and data lake solutions. - Defining architecture standards, blueprints, accelerators, and interoperability patterns. - Working closely with cross-functional teams to translate business requirements into technical solutions. - Designing and implementing dimensional models, fact tables, and data transformation/cleansing processes. - Developing scalable and high-performance data processing pipelines for enterprise reporting and analytics. - Ensuring data governance, data quality, security, privacy, and lifecycle management standards are implemented. - Providing production support for ETL processes and ensuring data availability and integrity. - Creating technical documentation, data flow diagrams, and architecture artifacts. - Conducting solution reviews and ensuring compliance with enterprise architecture standards. - Mentoring and guiding data engineers and technical teams across multiple locations. - Supporting evaluation and implementation of emerging technologies and leading proof-of-concept initiatives. Qualifications and Experience: - 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. - Hands-on experience with Google Cloud Platform (GCP), BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Functions, Google Cloud Storage (GCS), and Azure technologies. - Experience with Informatica and PowerExchange integrations. - Knowledge of data governance, metadata management, master/reference data, and data quality practices. - 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 are looking for a challenging role that encourages innovation and growth, Quantiphi is the place for you! Join our team of enthusiastic professionals who are committed to excellence and continuous learning. As a Technical Architect- Data at Quantiphi, you will play a crucial role in designing, developing, and maintaining scalable data engineering and analytics solutions for enterprise data platforms. Your responsibilities will include: - Designing, developing, and maintaining scalable data engineering and analytics solutions. - Building and optimizing ETL/ELT pipelines for ingestion, transformation, and processing of large-scale structured and unstructured data. - Developing conceptual, logical, and physical data models including metadata, lineage, and technical definitions. - Architecting and implementing data warehouse and data lake solutions. - Defining architecture standards, blueprints, accelerators, and interoperability patterns. - Working closely with cross-functional teams to translate business requirements into technical solutions. - Designing and implementing dimensional models, fact tables, and data transformation/cleansing processes. - Developing scalable and high-performance data processing pipelines for enterprise reporting and analytics. - Ensuring data governance, data quality, security, privacy, and lifecycle management standards are implemented. - Providing production support for ETL processes and ensuring data availability and integrity. - Creating technical documentation, data flow diagrams, and architecture artifacts. - Conducting solution reviews and ensuring compliance with enterprise architecture standards. - Mentoring and guiding data engineers and technical teams across multiple locations. - Supporting evaluation and implementation of emerging technologies and leading proof-of-concept initiatives. Qualifications and Experience: - 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. - Hands-on experience with Google Cloud Platform (GCP), BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Functions, Google Cloud Storage (GCS), and Azure technologies. - Experience with Informatica and PowerExchange integrations. - Knowledge of data governance, metadata management