Senior Data Platform Architect

2 weeks ago

Sydney, New South Wales, Australia beBeeDataArchitect Full time $120,000 - $180,000

Transforming Business with Data Innovation

We are seeking a highly skilled Senior Data Platform Architect to lead the design and implementation of our clients' data strategies. As a key member of our team, you will play a vital role in building real-time data pipelines and implementing data mesh architectures.

This challenging position combines deep technical expertise in modern data engineering methods with a client-facing approach, enabling clients to effectively manage and utilise their data.

  • Data Architecture: Design and architect scalable solutions using Databricks Lakehouse Architecture, applying best practices around Delta Lake, data modeling, and distributed processing.
  • Data Solution Development: Implement and enhance data-driven solutions integrating with clients' systems using state-of-the-art tools such as Databricks, Snowflake, Google Cloud, and AWS.
  • Data Pipeline Development: Develop and optimise high-performance, batch and real-time data pipelines employing advanced streaming technologies like Kafka, and Flink.
  • Database and Storage Optimisation: Optimise and manage a broad array of database technologies, from traditional relational databases (e.g., PostgreSQL, MySQL) to modern NoSQL solutions (e.g., MongoDB, Cassandra).
  • Big Data Processing & Analytics: Utilise big data frameworks such as Apache Spark and Apache Flink to address challenges associated with large-scale data processing and analysis.
  • Cloud Data Management: Implement and oversee cloud-specific data services including AWS Redshift, S3, Google BigQuery, and Google Cloud Storage.
  • Security and Compliance: Ensure all data practices comply with security policies and regulations, embedding security by design in the data infrastructure.

Ideal Skills and Qualifications

  • Databricks Expertise: Hands-on experience in Databricks to help us build scalable, high-performance data solutions.
  • Core Data Engineering Tools & Technologies: Demonstrates proficiency in SQL and Spark, and familiarity with platforms such as Databricks and Snowflake.
  • Data Storage Expertise: Knowledgeable in data warehousing technologies like BigQuery, Snowflake, and Databricks, proficient in managing various data storage formats including Parquet, Delta, ORC, Avro, and JSON.
  • Building and Managing Large-scale Data Systems: Experienced in developing and overseeing large-scale data pipelines and data-intensive applications within production environments.
  • Programming Languages: Proficient in Python and SQL, with additional experience in programming languages like Java, Scala, GoLang, and Rust considered advantageous.

What We Offer

A dynamic and collaborative work environment, opportunities for growth and development, and a competitive salary package.

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