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Enterprise Cloud Data Architect

2 weeks ago

Sydney, New South Wales, Australia beBeeData Full time
Senior Data Architect

Sydney, Australia | We are seeking a seasoned Senior Data Architect to design and deliver enterprise-scale cloud data solutions for high-stakes Banking and Telco transformations across ASEAN & Australia. You will lead end-to-end architecture from pre-sales to delivery, ensuring security, compliance, and business value while collaborating with clients, partners, and hyperscalers to shape and execute our modern Data & AI roadmap.

  • Design scalable cloud data architectures for efficient data storage, processing, and retrieval strategies.
  • Maintain data security, compliance, and governance standards.
  • Optimize data pipelines for performance and cost by collaborating with stakeholders on data governance, data sharing, data encryption, and security requirements.
  • Manage data integration across systems, providing detailed design documentation on source system integration, downstream dependencies, risks, and mitigation strategies.
  • Implement disaster recovery and backup plans.
  • Develop and introduce data quality frameworks, monitoring and tuning data systems for efficiency.
  • Lead data migration and modernization projects, helping customers learn and use AWS services like Athena, Glue, Lambda, S3, DynamoDB, NoSQL, Relational Database Service (RDS), Amazon EMR, and Amazon Redshift.
  • Deliver on-site technical engagements with customers, understanding customer requirements, and creating packaged Data & Analytics service offerings.
  • Prove the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services.
  • Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps, sharing real-world implementations and recommending new capabilities.
  • Engage with customer business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment.

Qualifications:

  • Bachelor's degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related field.
  • 8+ years of IT platform implementation experience in a technical and analytical role.
  • 5+ years of experience in Data Lake and AWS-based platform implementation.
  • 3+ years of hands-on experience implementing and performance-tuning AWS services like S3, Redshift, Glue, EMR, and modern tech stacks like Spark, Hadoop.
  • Expertise with AWS-based Hadoop ecosystem and related services.
  • Proficiency with one or more relevant tools like AWS Glue, Kafka, Apache Airflow, Zookeeper, AWS Lake Formation, Parquet, EMR.
  • Experience with one or more SQL-on-Hadoop/AWS technologies like Hive, Spark SQL, Athena, Redshift Spectrum.
  • Experience developing software code in one or more programming languages like Python, Java, Scala.
  • Additional experience with GenAI project implementation like embedding knowledge bases into vector DBs, chunking, MCP integration, tool integrations will be a plus.

Key Responsibilities:

  • High-Stakes Industry Delivery: Proven track record in architecting and delivering large-scale, mission-critical banking and telco data platforms.
  • Multi-Country, Cross-Cultural Engagement: Experience working across ASEAN & Australia, engaging with diverse teams, adapting to different regulatory and business landscapes.
  • Regulatory & Compliance Expertise: Deep knowledge of PDPA, MAS TRM, APRA, GDPR, and their application in secure, compliant data architecture design.
  • Cloud & Hybrid Data Architecture Mastery: Expertise in designing and implementing AWS-based enterprise data platforms, incorporating data lakes, real-time streaming, advanced analytics, and AI/ML integration.
  • Database & Analytics Technologies: Strong understanding of MPP and NoSQL databases, data warehouse design, BI reporting, dashboard development, and SQL-on-Hadoop/AWS technologies.
  • AWS Implementation Expertise: Demonstrated success implementing AWS services in distributed computing and enterprise environments.
  • End-to-End Ownership: Ability to lead the full lifecycle from pre-sales solutioning, architecture blueprinting, governance design, to delivery oversight and business value realization.
  • Partner & Vendor Collaboration: Experience co-developing joint solutions and accelerators with AWS, Azure, GCP, and other strategic partners.
  • Commercial & Business Acumen: Skilled at translating technical architectures into business value propositions for senior stakeholders.
  • Leadership & Mentoring: Proven ability to lead, mentor, and elevate distributed technical teams across geographies.
  • Change Leadership: Track record of driving adoption of modern data architectures and influencing both technical and business stakeholders toward transformation goals.
  • Willingness to Travel: Comfortable with frequent travel within ASEAN & Australia for client, partner, and delivery engagement.

What We Offer:

  • The opportunity to play a pivotal role in reshaping the data landscape for some of the most recognized banks and telcos in ASEAN & Australia.
  • Work on high-stakes transformation programs where timelines are aggressive, the impact is measurable at boardroom level, and your solutions will influence millions of customers and shape market leaders' competitive edge.
  • Be part of an agile, highly proficient, and experienced Cloud, Data, and AI/ML team that thrives on delivering complex, high-value outcomes.
  • Tackle challenging data science and machine learning problems and see your work deployed into production environments.
  • A fast-paced software development environment using the latest open-source tools across the development stack.
  • Competitive salary and benefits package, a vibrant work culture, and numerous opportunities for professional growth across the region.