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!
Skills Required
- 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
- Experience with MS SQL Server
- Experience with PostgreSQL
- Experience with MySQL
- Hands-on experience with Google Cloud Platform and services (BigQuery, Cloud SQL, Composer/Airflow, Dataflow, Dataproc, Cloud Functions, GCS)
- Experience with Azure technologies (Azure Data Factory, ADLS, Databricks)
- Experience with Informatica and PowerExchange integrations
- Experience integrating data from Mainframe, Salesforce, ERP, CRM, HRIS, and other enterprise systems
- Strong knowledge of APIs, XML, and JSON
- Experience defining enterprise data architecture, reference frameworks, and data modeling
- 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
- Experience working in Agile and Scrum environments and ability to lead distributed teams
- Knowledge of AWS cloud services
- Experience with SQL Server Reporting Services (SSRS), SQL Server Integration Services (SSIS), and Dremio
Quantiphi Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.
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Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
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Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
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Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.
Quantiphi Insights
What We Do
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.
