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Ali and Dan

Data Architect

Description

We are seeking an experienced and strategic Data Architect with over a decade of expertise to lead the design and implementation of our enterprise data platform. In this role, you will be responsible for defining the vision, strategy, and principles for our data management architecture. Leveraging your deep knowledge of AWS and Databricks, you will architect and build scalable, high-performance, and reliable data solutions that meet our business needs. You will collaborate with stakeholders across the organization to understand data requirements and translate them into robust technical designs. This position requires a strong leader who can establish best practices for data modeling, data governance, and data security. You will also mentor a team of data engineers, guiding them in building and maintaining our modern data lakehouse architecture. Your work will directly influence our ability to leverage data as a strategic asset for analytics and decision-making. Join us to shape the future of our data landscape.

Requirements

1. 10+ years of progressive experience in data architecture, data engineering, or related fields.

2. Proven expertise in designing and implementing scalable data solutions on the AWS cloud platform.

3. Extensive hands-on experience with core AWS data services, including S3, Glue, Redshift, EMR, and Lambda.

4. Deep proficiency in the Databricks Lakehouse Platform, including Spark, Delta Lake, and cluster optimization.

5. Strong experience in data modeling techniques (e.g., Kimball, Inmon, Data Vault) and data warehousing concepts.

6. Proficiency in SQL and at least one programming language such as Python or Scala for data processing.

7. Experience in architecting end-to-end data pipelines, from data ingestion and processing to storage and consumption.

8. Solid understanding of data governance, data quality, and data security principles and best practices.

Desirable

1. AWS Certified Solutions Architect or AWS Certified Data Analytics - Specialty certification.

2. Databricks Certified Data Engineer or Machine Learning Professional certification.

3. Experience with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.

4. Familiarity with data streaming technologies such as Kafka or Kinesis.

5. Experience leading data strategy and mentoring data engineering teams.

Total Applications :

55

Important information

How did you hear about us? *

Which country's passport do you hold? *

Email *(Please ensure the email matches the one mentioned in your CV or resume)

LinkedIn Profile URL *

Please provide your current and expected salary in the box below: *

Please mention your notice period *

Please answer the following 7 short questions. These help our team better understand your strengths and areas of experience.

It’s completely fine to select ‘No’ if something doesn’t apply to your background — we’re looking for a good fit, not a perfect one.

If you select ‘Yes’ for any question, you’re welcome to use it as a guide to highlight relevant experience in your CV, where applicable.

1. Do you have 10 or more years of professional experience in data architecture, data engineering, or a related field? *

2. Have you designed and implemented data solutions using AWS services such as S3, Redshift, and Glue? *

3. Do you have hands-on experience architecting and building data processing pipelines using Databricks, Spark, and Delta Lake? *

4. Have you architected end-to-end data platforms that integrate both AWS and Databricks? *

5. Do you have professional experience implementing formal data modeling techniques and data governance frameworks? *

6. Have you held a role where you were responsible for leading data strategy and mentoring other team members? *

7. Are you currently holding an Australian Citizenship? *

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