Senior Technical Lead

1 week ago

Sydney, New South Wales, Australia beBeeData Full time $120,000 - $160,000
Overview

This is an opportunity to leverage your technical expertise in data engineering to drive real outcomes. The role requires collaboration with cross-functional teams, including architecture, quality assurance, business analysis, and data science.

Responsibilities
  • Provide technical leadership in the data space, collaborating with cross-functional teams.
  • Act as a key driver of technical delivery, proactively identifying risks and solutions.
  • Lead technical solution design and troubleshooting.
Technical Skills
  • Ensure adherence to data privacy, security, observability, and governance standards.
  • Collaborate with architects and senior engineers to design resilient, high-performance data solutions.
  • Build scalable data pipelines to ingest, process, and expose data using Snowflake, AWS Redshift, Kinesis, Lambda, DynamoDB, S3, Glue, Apache Storm, and others.
  • Develop batch and streaming data solutions using Apache Kafka, Apache Spark, Airflow, and Delta Lake for real-time and scheduled data processing.
  • Design and implement event-driven data architectures with streaming frameworks such as Kafka Streams and Kinesis Data Firehose.
  • Implement Data Quality, Data Lineage, and Observability frameworks.
  • Build CI/CD pipelines using tools such as GitHub Actions, Terraform.
  • Collaborate with Site Reliability Engineers to ensure stability and uptime of production pipelines and services.
  • Continuously identify opportunities for performance improvement, cost optimisation, and process efficiency.
  • Work with Data Scientists to ensure high-quality data for Machine Learning models and integrate them into production-ready pipelines.
Qualifications
  • Undergraduate degree focused on Computer Science, Engineering, Data Science or a related discipline.
  • 5+ years of hands-on experience in data profiling, source-to-target mapping, ETL development, SQL optimisation, testing, and implementation.
  • Proven experience delivering large-scale data ingestion, transformation, and processing using AWS technologies such as Kinesis, Athena, Redshift, DynamoDB, Lambda, and S3.
  • Proficient with modern data platforms and tools including Snowflake, Databricks and Apache Storm.
  • Strong experience working with relational databases (SQL) as well as NoSQL databases, particularly MongoDB.
  • Proven ability to translate complex business requirements into technical solutions through effective cross-functional collaboration, strong communication skills, and adaptable problem-solving approach
  • Exposure to CI/CD tools and practices, including Ansible, CloudFormation, Jenkins, and related automation technologies.
  • Experience developing and deploying solutions on cloud platforms such as AWS, GCP, or Azure.
Benefits
  • Complimentary event tickets.
  • Birthday and volunteering leave.
  • Wellbeing discounts & flu vaccinations.
  • Paid parental leave & free employee support (EAP).
  • Global rewards and recognition.
  • Learning, development & career pathways.
  • A diverse, inclusive, and passionate team.

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