Quantiphi
From Quantiphi's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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
Work Location: Bangalore / Mumbai
Timings: 11AM - 7PM IST
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.
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.
Oracle PL/SQL
MS SQL Server
PostgreSQL
MySQL
Strong understanding of database design, data modeling, and architecture principles.
Cloud & Big Data Technologies
Google Cloud Platform (GCP)
BigQuery
Cloud SQL
Composer (Airflow)
Dataflow
Dataproc
Cloud Functions
Google Cloud Storage (GCS)
Azure Data Factory (ADF)
Azure Data Lake Storage (ADLS)
Databricks
Knowledge of AWS cloud services is a plus.
Integration & Data Tools
Experience integrating data from Mainframe, Salesforce, ERP, CRM, HRIS, and other enterprise systems.
Strong knowledge of APIs, XML, JSON, and modern data integration techniques.
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!
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