Data Architect

Our vision is simple while at the same time ambitious: to make AI adoption both impactful and human -centered. We collaborate with leading enterprises in banking, telecommunications, retail, and other industries to help them unlock tangible value from their data and AI initiatives. By combining deep industry expertise, trusted partnerships, and a relentless focus on outcomes, OnebyZero empowers organizations to go beyond pilots and achieve lasting, scaled impact

About the Role

What You'll Do & The Impact You'll Have

• Architect the Future – Design secure, scalable, and modern cloud data platforms that become the backbone of digital transformation programs.
  
• Drive Compliance & Trust – Ensure data platforms meet the highest standards of governance, privacy, and regulatory compliance, enabling clients to operate with confidence.
  
• Enable Business Growth – Translate complex architectures into tangible business value, empowering CxOs and stakeholders to accelerate innovation, reduce risk, and improve decision -making.
  
• Elevate Standards – Mentor engineers and architects across geographies, embedding best practices for performance, cost optimization, and long -term sustainability.
  
• Be a Strategic Partner – Work directly with hyperscalers (AWS, GCP, Azure), clients, and partners to co -create cutting -edge solutions and accelerators.
  
• Shape the Industry – Deliver high -stakes solutions that redefine customer experiences, operational resilience, and competitive advantage for global enterprises.
  

Requirements

What You'll Bring to the Table

Must -Have Skills:

• Industry & Domain Expertise
  
• Proven track record in large -scale, mission -critical Banking (core banking modernization, AML, fraud analytics, risk & compliance) and Telco (OSS/BSS, network analytics, CX platforms) transformations.
  
• Strong knowledge of regulatory & compliance frameworks (PDPA, MAS TRM, APRA, GDPR) applied to secure data architecture design.
  
• Cloud & Data Architecture Mastery
  
• 5+ years designing and implementing AWS -based enterprise data platforms (data lakes, real -time streaming, analytics, ML integration).
  
• Expertise with hybrid/multi -cloud architectures, distributed systems, and cloud modernization projects.
  
• Hands -on experience with AWS services: S3, Redshift, Glue, EMR, Lambda, DynamoDB, Athena.
  
• Data Engineering & Governance
  
• Strong understanding of data security, governance, lineage, quality, cataloging, and compliance in enterprise environments.
  
• Ability to design, optimize, and tune data pipelines for scalability, performance, and cost efficiency.
  
• Proficiency with ETL/ELT tools and frameworks (Glue, Kafka, Airflow, Lake Formation, Parquet, Spark/Hadoop ecosystem).
  
• Database & Analytics Technologies
  
• Deep knowledge of MPP and NoSQL databases, data warehouse design, and BI/reporting solutions.
  
• Strong skills in SQL -on -Hadoop/AWS technologies (Hive, Spark SQL, Athena, Redshift Spectrum).
  
• Programming experience in Python, Java, or Scala for data processing and architecture automation.
  
• Leadership & Delivery
  
• End -to -end ownership from pre -sales solutioning (RFI/RFP, SOWs, HLD/LLD) to delivery governance and business value realization.
  
• Experience collaborating with AWS engineering, support, and partner teams to co -develop solutions.
  
• Strong stakeholder management skills with CxO -level business acumen, able to articulate technical architectures into clear business value.
  
• Proven ability to mentor and lead distributed technical teams across ASEAN & Australia.
  
• Willingness to travel across the region for client, partner, and delivery engagements.
  

• Experience with GenAI data integration projects (vectorDBs, embeddings, chunking, MCP/tools integration).
  
• Multi -country, cross -cultural experience in ASEAN & Australia, adapting architectures to regulatory nuances.
  
• Familiarity with Azure, GCP, or multi -hyperscaler architectures for co -solutioning.
  
• Thought leadership exposure: conference speaking, whitepapers, open -source contributions.
  
• Involvement in commercial/strategic initiatives – GTM offerings, accelerators, sales pipeline support.
  
• Experience designing disaster recovery & backup strategies for large -scale data platforms.
  

Benefits

What We Bring to the Table

• Impact -First Culture: Your work directly contributes to real -world AI solutions and business outcomes.
  
• Professional Growth: Continuous learning opportunities, mentorship from industry leaders, and a clear path for career development.
  
• Competitive Compensation: Market -leading salary, benefits, and incentives.
  
• Dynamic Team Environment: Collaborate with a high -performing team that values curiosity, integrity, and ownership.
  
• Global Exposure: Opportunities for international travel.