Tech Architect - Data

Quantiphi, Inc.; Mumbai; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Quantiphi, Inc. is seeking a Technical Architect - Data in Mumbai with 8-10+ years of experience. The role focuses on designing scalable data engineering solutions and optimizing ETL/ELT processes.

You will collaborate with Product Owners and Data teams, mentor engineers, and ensure compliance with architecture standards. Ideal candidates should have a strong background in Data Warehousing, SQL, and cloud technologies like GCP and Azure.

Qualifications

• 8-10+ years of experience in Data Engineering or related fields.
• Strong analytical and problem-solving abilities.
• Experience working in Agile and Scrum environments.

Responsibilities

• Design and maintain scalable data engineering solutions.
• Build ETL/ELT pipelines for large-scale data.
• Ensure data governance and quality standards.
• Mentor and guide data engineers across locations.

Skills

Data Warehousing

ETL/ELT frameworks

SQL programming

Data Lakes

Cloud Technologies

Tools

Oracle PL/SQL

MS SQL Server

PostgreSQL

MySQL

Google Cloud Platform

Azure Data Factory

Job description

## Tech Architect - DataApplylocations: IN MH Mumbai Eurekatime type: Full timeposted on: Posted 2 Days Agojob requisition id: JR10251While 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+ YearsWork Location: Bangalore / Mumbai Timings: 11AM - 7PM ISTKey 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 TechnologiesHands-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)* DatabricksKnowledge 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)* DremioArchitecture & 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**!*