Senior Architect - Data Engineering
Slalom Canberra, Australian Capital Territory, Australia
Join Slalom to apply for the Senior Architect - Data Engineering role. We partner with clients to build modern data solutions that drive results and improve the world.
What You'll Do
Work in small, collaborative teams with minimal oversight to design and deliver innovative solutions on Amazon Web Services, Microsoft Azure, and Google Cloud Platform using core cloud data warehouse tools, distributed processing engines, event streaming platforms, and other modern data technologies.
Build the next generation of data platforms and work with forward-thinking organizations in data and analytics.
Understand the client's current environment and technical challenges as well as plans for evolving or creating their future state architecture.
Facilitate working design sessions with Slalom and client technical teams to drive the strategy, architecture, and implementation of a data engineering solution.
Describe the pros and cons of solution designs and drive consensus between Slalom and client teams.
Break down complex development tasks and ensure timely, high-quality completion of items assigned to you and the development team, aligned with the technical solution you designed.
Participate in pre-sales activities as time allows, including helping define an approach to solving a prospect's technical challenges and assisting the business development team with estimating and planning projects.
What will you bring?
Broad experience in architecture design with deep expertise in one or more data engineering technologies, a curious mindset, a passion for learning, and a willingness to experiment to meet client data challenges.
Self-starter mindset and ability to break down large problems into smaller parts, with a habit of sharing learnings within projects and the broader Slalom Build community.
Hands-on experience with new data platforms and programming languages across the technologies Slalom helps clients with, including:
Big Data Platforms (Apache Spark, Presto, Amazon EMR)
Cloud Data Warehouses (Amazon Redshift, Snowflake, Google BigQuery)
Object Oriented Coding (Java, Python)
NoSQL Databases (DynamoDB, Cosmos DB, MongoDB)
Container Management Systems (Kubernetes, Amazon ECS)
Artificial Intelligence / Machine Learning (Amazon SageMaker, Azure ML Studio)
Streaming Data Ingestion and Analytics (Amazon Kinesis, Apache Kafka)
Visual Analytics (Tableau, PowerBI)
Modern Data Workflows (Apache Airflow, dbt, Dagster)
Our Values
Our culture and values reflect each individual Slalomer. We encourage workplace diversity and strive for a team that echoes the diversity of the communities we serve. Our values guide our decisions and daily work.
What keeps us here?
We value work-life balance and provide space for flexibility. We invest in holistic wellbeing, meaningful allowances, and the growth of our team's professional, technical, and personal development.
Slalom is an equal opportunity employer and welcomes all qualified applicants. Slalom does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Design, Art/Creative, and Information Technology
Industries
Business Consulting and Services
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