Enterprise Data Architect

Posted 13 Days Ago
Be an Early Applicant
Sydney, New South Wales
In-Office
Senior level
Software • Hospitality
SiteMinder (ASX:SDR) is the world's leading open hotel commerce platform, empowering hotels and accommodation providers
The Role
Lead the design and implementation of enterprise-scale data engineering systems, define architecture for data platforms, mentor teams, and drive innovation.
Summary Generated by Built In

At SiteMinder we believe the individual contributions of our employees are what drive our success. That’s why we hire and encourage diverse teams that include and respect a variety of voices, identities, backgrounds, experiences and perspectives. Our diverse and inclusive culture enables our employees to bring their unique selves to work and be proud of doing so. It’s in our differences that we will keep revolutionising the way for our customers. We are better together!

What We Do…

We’re people who love technology but know that hoteliers just want things to be simple. So since 2006 we’ve been constantly innovating our world-leading hotel commerce platform to help accommodation owners find and book more guests online - quickly and simply.

 

We’ve helped everyone from boutique hotels to big chains, enabling travellers to book igloos, cabins, castles, holiday parks, campsites, pubs, resorts, Airbnbs, and everything in between.

 

And today, we’re the world’s leading open hotel commerce platform, supporting 50,000 hotels in 150+ countries - with over 130 million reservations processed by SiteMinder’s technology every year.

About the Enterprise Data Architect role...

We are seeking an experienced Data Architect to lead the design and implementation of enterprise-scale data engineering systems. This strategic role requires a seasoned professional with at least 3 years experience as an enterprise data architect & been a data engineer in the past. You'll be at the forefront of our data transformation journey, working with cutting-edge technologies including big data platforms, cloud data warehouses, and emerging AI/LLM capabilities. As a trusted technical leader, you'll shape our data architecture strategy, mentor engineering teams, and drive innovation across the organization.

This is a high-impact role where your Snowflake or Databricks expertise will directly shape a differentiated Hospitality-tech product. You’ll have the opportunity to:

  • Define the architecture of our data platform

  • Lead the technical roadmap for our products

  • Work directly with the leadership and product teams

  • See your work translated into tangible customer savings and business value

What you’ll do…

  • Architect Enterprise Data Solutions: Design and build scalable data lakes, lakehouses, and data mart architectures that support business-critical analytics and operations

  • Lead Technical Strategy: Define data architecture roadmaps, evaluate emerging technologies, and establish architectural standards and best practices

  • Design Data Pipelines: Architect robust ELT/ETL frameworks and orchestration solutions using tools like Airflow, DBT, and cloud-native services

  • Enable Modern Analytics: Develop semantic models and metadata frameworks that democratize data access across the organization

  • Drive Innovation: Research and implement cutting-edge solutions including AI/LLM integration, real-time streaming architectures, and advanced analytics platforms

  • Mentor & Guide: Provide technical leadership and mentorship to data engineers and junior architects, fostering a culture of excellence

  • Collaborate Cross-functionally: Partner with business stakeholders, data scientists, and engineering teams to translate requirements into scalable technical solutions

  • Optimize Performance: Design database schemas, implement optimization strategies, and ensure data governance and security standards

  • Ensure Data Accuracy & Reconciliation: Implement processes to reconcile data across multiple sources, ensuring consistency, completeness, and reliability for downstream analytics

What you have…

Experience & Expertise

  • 8+ years of professional experience in data engineering, analytics, or related fields

  • 3+ years of proven experience architecting data engineering systems at scale

  • Demonstrated success delivering production-grade data solutions for enterprise environments

Technical Proficiency

Big Data & Streaming Technologies:

  • Apache Hadoop, Spark (batch and streaming processing)

  • Apache Kafka for real-time data ingestion and streaming

Cloud Data Platforms:

  • Databricks (Delta Lake, Unity Catalog)

  • Snowflake (architecture, optimization, best practices)

Cloud Infrastructure:

  • Strong knowledge of AWS services (S3, Glue, EMR, Redshift, Lambda, Step Functions, etc.)

  • Cloud-native architecture patterns and security practices

Data Architecture Concepts:

  • Deep understanding of data lake, lakehouse, and data mart architectures

  • Semantic modeling and dimensional modeling expertise

  • Metadata management and data governance frameworks

Data Engineering Tools & Frameworks:

  • DBT for transformation and data modeling

  • Apache Airflow or equivalent orchestration platforms

  • ELT/ETL framework design and implementation

Database & Data Modeling:

  • Relational and NoSQL database design

  • Advanced data modeling techniques (star schema, snowflake schema, vault modeling)

  • Performance tuning, indexing strategies, and query optimization

Value-Add Skills (Preferred):

  • Exposure to AI/ML pipelines and LLM integration

  • Experience with vector databases, embeddings, or RAG architectures

  • Familiarity with GenAI application development

  • Familiarity with compliance frameworks like SOC2, GDPR

Leadership & Soft Skills

  • Research-Oriented: Strong analytical mindset with ability to evaluate and adopt emerging technologies

  • Mentorship: Proven ability to guide and develop technical talent

  • Communication: Excellent ability to articulate complex technical concepts to diverse audiences

  • Strategic Thinking: Architectural vision with understanding of business impact and trade-offs

  • Collaboration: Team player who thrives in cross-functional environments

Our Perks & Benefits…

  • Equity packages for you to be a part of the SiteMinder journey

  • Mental health and well-being initiatives

  • Generous parental (including secondary) leave policy

  • 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

Does this job sound like you? If yes, we'd love for you to be part of our team! Please send a copy of your resume and our Talent Acquisition team will be in touch.

When you apply, please tell us the pronouns you use and any adjustments you may need during the interview process. We encourage people from underrepresented groups to apply.

Top Skills

Apache Airflow
Apache Hadoop
Apache Kafka
Spark
AWS
Aws Emr
Aws Glue
Aws Lambda
Aws Redshift
Aws Step Functions
Databricks
Dbt
S3
Snowflake
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The Company
HQ: Addison, TX
0 Employees
Year Founded: 2006

What We Do

SiteMinder’s innovative online platform offers hotels and accommodation providers a comprehensive range of products and solutions to manage and streamline the distribution of their rooms across a wide selection of direct and indirect channels, take bookings from guests and communicate with guests.

The global company, headquartered in Sydney with offices in Bangalore, Bangkok, Barcelona, Berlin, Dallas, Galway, London and Manila, generates more than 100 million reservations worth over US$35 billion in revenue for hotels each year.

SiteMinder was voted Best Channel Manager, Best Booking Engine, & Best Ecommerce Platform by Hotel Tech Report in 2023.

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