Principal Engineer - Data Engineering
Freshworks•2h ago
Hyderabad, inOnsiteFull-timePrincipal Level15+ yrs exp
Top focus
Principal EngineerData EngineerVp EngineeringVp DataData Warehouse Engineer
- About Freshworks: Organizations everywhere struggle under the crushing costs and complexities of “solutions” that promise to simplify their lives. To create a better experience for their customers and employees. To help them grow. Software is a choice that can make or break a business. Create better or worse experiences. Propel or throttle growth. Business software has become a blocker instead of ways to get work done. There’s another option. Freshworks. With a fresh vision for how the world works. Freshworks Inc. builds uncomplicated service software that delivers exceptional employee and customer experiences. Our people-first approach to AI eliminates friction, helping businesses reduce complexity, lower cost-to-serve
- deliver faster, more human support through enterprise-grade yet easy-to-use CX and IT solutions. Nearly 75,000 companies, including Bridgestone, New Balance, Nucor, S&P Global
- Sony Music, trust Freshworks to power their Employee Experience (EX) and Customer Experience (CX) operations. Fresh vision. Real impact. Come build it with us.
- We are seeking a Principal Staff Engineer – Data to serve as the most senior individual contributor within the data engineering organization. This role will define the long-term technical vision for Freshworks' data platform and drive architectural decisions across data ingestion, processing, storage, governance, analytics
- AI/ML enablement. The ideal candidate has deep expertise in large-scale distributed data systems, real-time streaming architectures, cloud data platforms
- modern lakehouse technologies. They combine strong technical judgment with the ability to influence engineering strategy across multiple teams and business functions. Key Responsibilities Data Architecture & Strategy Define and own the long-term architecture vision and roadmap for Freshworks' enterprise data platform. Drive key technology decisions including platform selection, build-versus-buy evaluations, migrations
- deprecations. Establish architecture standards, engineering principles
- reference patterns that scale across teams. Evaluate emerging technologies and recommend strategic investments aligned with business goals. Large-Scale Data Platform Engineering Architect and scale real-time and batch data platforms supporting high-volume, low-latency workloads. Design streaming architectures for event ingestion, CDC
- real-time processing using technologies such as Kafka, Kinesis
- Pub/Sub. Lead the design of Spark-based distributed processing systems for large-scale data workloads. Architect performant and cost-efficient data warehouse and serving layers using Snowflake and cloud-native platforms. Drive lakehouse initiatives leveraging technologies such as Iceberg, Delta Lake, Databricks
- cloud-native services. Establish best practices for platform reliability, observability, scalability, performance
- cost optimization. Analytics, Data Products & AI Enablement Define reusable data models, semantic layers
- curated data products that support self-service analytics. Partner with product, analytics
- business teams to translate complex requirements into scalable platform capabilities. Build foundational data capabilities that accelerate AI/ML and GenAI initiatives. Enable trusted, discoverable
- reusable datasets across the organization. Governance, Security & Quality Define enterprise-wide standards for data governance, metadata management, lineage, cataloging
- stewardship. Establish data quality frameworks, monitoring standards
- reliability metrics. Ensure compliance with security, privacy
- regulatory requirements. Promote a culture of trusted and well-governed data across the organization. Technical Leadership Serve as the highest technical authority for data architecture and platform design decisions. Lead architecture reviews and provide guidance on complex technical challenges across multiple teams. Mentor Staff and Senior engineers and help elevate engineering standards across the organization. Influence engineering strategy, platform investments
- long-term technical direction. Drive alignment among engineering, product, analytics
- leadership stakeholders.
- Required Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Information Systems
- a related discipline. 15+ years of experience in Data Engineering, Data Platform Engineering
- Data Architecture. Proven experience designing and operating large-scale, real-time data platforms in production environments. Deep hands-on expertise with Snowflake, Apache Spark
- modern cloud data platforms. Strong understanding of distributed systems, streaming architectures, data modeling
- data integration patterns. Experience designing enterprise-scale data platforms that support analytics, reporting
- AI/ML workloads. Demonstrated success leading cross-functional architecture initiatives in SaaS or product organizations. Proven ability to influence technical strategy and mentor senior engineering talent. Preferred Qualifications Experience with lakehouse technologies such as Delta Lake, Apache Iceberg
- Databricks. Experience building data platforms supporting AI/ML, GenAI, feature stores
- training-data pipelines. Experience with enterprise data governance, metadata management, cataloging, lineage
- observability platforms. Experience driving platform cost optimization and FinOps initiatives for large-scale data environments. Track record of defining technical direction and delivering organization-wide platform transformations.
- At Freshworks, we have fostered an environment that enables everyone to find their true potential, purpose
- passion, welcoming colleagues of all backgrounds, genders, sexual orientations, religions
- ethnicities. We are committed to providing equal opportunity and believe that diversity in the workplace creates a more vibrant, richer environment that boosts the goals of our employees, communities
- business. Fresh vision. Real impact. Come build it with us.
Required skills
Data EngineeringData ArchitectureSnowflakeApache SparkKafkaKinesisPub/SubDatabricksDelta LakeApache Iceberg