Sr Data Engineer
Quickbase · Bangalore ·
- Work mode
- Hybrid
- Seniority
- Senior
- Category
- Data engineering
- Experience
- 6+ years
Quickbase · Bangalore ·
Senior Data Engineer
Data & Analytics
About the Role
We are hiring a Senior Data Engineer to shape and strengthen the data foundation that drives company performance.
This is a senior individual contributor role with meaningful influence. You will define engineering standards, evolve our data platform, and ensure data is reliably integrated and structured to support confident decision making across the organization.
Success in this role requires more than technical execution. You will be expected to operate independently, bring structure to ambiguity, challenge unclear assumptions, and translate complex system and business problems into durable data solutions.
Key Responsibilities
Data Platform Leadership
Lead the development and continuous improvement of data pipelines and integration frameworks
Define standards for ingestion, orchestration, and data movement across the platform
Improve reliability, performance, and cost efficiency of data pipelines and storage
Design scalable, reusable patterns that support consistent data flow across systems
Data Integration and Architecture
Design and implement integrations across internal and external systems using tools such as Fivetran and custom pipelines
Own how data enters and moves through the warehouse, ensuring consistency and integrity
Structure data layers to support both upstream flexibility and downstream consumption
Ensure strong alignment between source system logic and warehouse representations
Data Modeling and Foundation
Architect and implement core data models in Snowflake using dbt
Build durable data layers aligned to core revenue and operational domains
Ensure strong alignment between upstream data structures and downstream reporting needs
Embed testing, documentation, and performance optimization into standard engineering practice
Data Reliability and Quality
Establish and enforce data quality standards across ingestion and transformation layers
Design systems for validation, monitoring, and lineage
Proactively identify and resolve data issues, reducing ambiguity and downstream impact
Strengthen trust in enterprise data through consistent and reliable delivery
AI-Enabled Data Systems
Treat AI as a core capability in modern data engineering, leveraging it to deliver high-quality solutions with greater speed and rigor
Design data pipelines and structures that enable safe and effective use of AI with trusted data
Integrate AI into engineering workflows to accelerate development, monitoring, and optimization
Apply disciplined judgment when evaluating AI-generated outputs, ensuring enterprise standards for accuracy and consistency
Establish practical guardrails for responsible AI usage across both engineering and business consumption
Cross-Functional Partnership
Translate complex and ambiguous business questions into scalable data solutions
Communicate technical tradeoffs clearly to both technical and business stakeholders
Introduce platform and process improvements and drive them through implementation
Influence data standards across the Data & Analytics function
What We Look For
Ability to operate independently in complex, evolving environments
Clear and structured communication
Strong analytical reasoning and systems thinking
Ownership mindset with focus on measurable business outcomes
Willingness to challenge assumptions constructively
High standards for data quality, reliability, and engineering rigor
Qualifications
6+ years of experience in data engineering or analytics engineering
Strong experience with data integration, pipeline development, and warehouse architecture
Strong hands-on experience with Snowflake and dbt
Experience with data integration tools such as Fivetran
Experience working with cloud platforms such as AWS
Advanced SQL with demonstrated performance tuning expertise
Experience with Git-based workflows and GitHub for version control
Experience building and operating reliable data pipelines
Preferred:
Experience in SaaS or subscription-based businesses
Experience working with global stakeholders
Python for automation or platform tooling
Impact
The systems and standards established in this role will directly influence data reliability, operational efficiency, and decision making. The quality of this foundation will determine how effectively the organization leverages both trusted data and AI to drive performance.
How We Think About AI
At Quickbase, we view AI as a tool to accelerate how work gets done — not replace it. We encourage thoughtful use of AI to improve speed, quality, and decision-making, while maintaining strong judgment, accountability, and data integrity.
Equal Opportunity Statement
Quickbase is committed to building a diverse and inclusive workplace. We encourage candidates from all backgrounds to apply – even if you don’t meet every qualification listed. We are proud to be an equal opportunity employer.
Benefits