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Pune, Maharashtra, India
Hybrid
At SiteMinder, we believe our success comes from our people. We build diverse, inclusive teams where different voices, backgrounds and perspectives are valued. Our differences drive innovation for our customers, and our people bring the ideas, expertise and energy that help us keep moving forward. We’re better together.
What we do...
Right now, somewhere in the world, a hotel is taking a booking or increasing their revenue through technology you could help build. SiteMinder is the world’s leading hotel commerce platform. For more than 20 years, we’ve helped hotels attract guests, maximise revenue, forecast demand and perform at their best. Today, our platform supports 56,000+ hotels in 150+ countries, connects to 3,000+ partners and powers more than 140m reservations and AU$85 billion+ in hotel revenue each year.
That’s the kind of impact your work can have here. You’ll solve meaningful challenges with AI, simplify complexity and build solutions that help hotels perform. Supported by clear purpose, a strong platform and teams who care about what they’re building, you’ll have the opportunity to shape the future of an industry that never stands still.
About the Data Engineering Lead Role…
We are looking for a hands-on Data Engineering Lead to provide technical direction and people leadership for a small team of data engineers. You will help shape the evolution of SiteMinder’s cloud data platform while continuing to contribute directly to the design and delivery of data engineering solutions.
This is a player-coach role. You will spend approximately 70% of your time on data engineering projects and 30% on Data Operations, reliability, and support. You will work across Databricks, Snowflake, dbt, AWS, Terraform, Python, SQL, and related technologies.
You will partner with engineering, product, finance, commercial, and analytics stakeholders to turn business needs into trusted, maintainable data solutions. You will also help establish the engineering standards, operating practices, and team capabilities needed to scale our data platform.
What you’ll do…
Technical leadership
Set technical direction for data engineering projects and make pragmatic architecture decisions
Lead design reviews and establish reusable patterns for ingestion, transformation, orchestration, data modelling, testing, deployment, and observability
Promote engineering best practices across code quality, CI/CD, infrastructure as code, security, documentation, and operational readiness
Guide the adoption and effective use of Databricks, Snowflake, dbt, AWS, and supporting platform technologies
Identify opportunities to improve platform scalability, reliability, performance, data quality, and cost efficiency
Provide hands-on technical contribution to complex data pipelines, integrations, transformations, and production issues
People leadership
Lead, coach, and develop a small team of data engineers through regular feedback, goal-setting, mentoring, and career development
Support hiring, onboarding, performance management, and capability planning for the team
Create an environment of ownership, collaboration, knowledge sharing, and continuous improvement
Help team members make sound technical decisions while encouraging autonomy and accountability
Delivery and stakeholder partnership
Own or contribute to the delivery of data engineering initiatives from discovery and design through implementation and production support
Translate business and analytical requirements into robust data products and well-defined delivery plans
Build strong functional knowledge of SiteMinder’s systems and business processes, including applications such as Salesforce and Zuora
Work effectively with geographically distributed teams and communicate technical decisions clearly to both technical and non-technical stakeholders
Participate in data discovery, deep-dive analysis, and investigation of complex data issues, communicating findings and recommended actions clearly
Data Operations and reliability
Help operate and support production data pipelines, datasets, and integrations within agreed service levels.
Establish effective monitoring, alerting, incident response, root-cause analysis, and problem-management practices.
Improve data quality through automated testing, validation, reconciliation, lineage, and documentation.
Manage operational requests and prioritise ad hoc analysis based on business impact and urgency.
Identify recurring operational issues and convert them into sustainable engineering improvements rather than manual workarounds
What you have…
Significant professional experience in data engineering, including experience leading technical delivery or mentoring engineers
Strong hands-on experience with cloud data platforms, including Databricks and/or Snowflake, and production experience with dbt
Experience designing and implementing data platforms using medallion or comparable layered architecture patterns
Strong Python and SQL skills, with practical experience writing, testing, debugging, and optimising production data pipelines
Experience with data modelling, dimensional modelling, data warehousing, fact and dimension tables, slowly changing dimensions, and analytical data products
Experience building and operating complete ETL or ELT processes, including ingestion, transformation, testing, deployment, and monitoring
Practical experience with Terraform or another infrastructure-as-code approach
Experience building bespoke integrations using Python, REST APIs, or similar technologies
Strong understanding of data reliability, observability, security, access control, and cost management
Experience working with AWS data services and the ability to choose appropriate services for a given use case
Leadership and collaboration
Demonstrated ability to lead through influence, make clear technical decisions, and create alignment across teams
Experience coaching engineers and raising engineering standards across a team
Strong communication, documentation, and stakeholder-management skills
A structured and analytical approach to problem-solving, with sound judgment when working independently
Experience working effectively with geographically distributed and culturally diverse teams
A practical, delivery-focused mindset suited to a growing technology organisation
Nice to have
Experience with streaming or event-driven data platforms such as Kafka, Kinesis, or equivalent technologies.
Experience with AWS services such as Glue, EMR, and Kinesis
Experience with Spark and large-scale distributed data processing
Experience with change data capture, near-real-time ingestion, or integration with OLTP systems
Experience with data governance, data contracts, metadata management, lineage, or master data concepts
Experience supporting a migration between data platforms, such as Snowflake and Databricks
Experience in the SaaS, travel, hospitality, or marketplace sectors
Our Perks & Benefits…
- Mental health and well-being initiatives
- Generous parental (including secondary) leave policy
- Flexibility to work in a Hybrid model (3 days in-office)
- Paid birthday, study and volunteering leave every year
- Sponsored social clubs, team events, and celebrations
- Employee Resource Groups (ERG) to help you connect and get involved
- Investment in your personal growth offering training for your advancement
Think this role sounds like you? If so, we’d love to hear from you. Please send us your resume and our Talent Acquisition team will be in touch.
When you apply, feel free to share your pronouns and let us know if you need any adjustments during the interview process, we’re here to support you. We also warmly encourage applications from people from underrepresented backgrounds.