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!
