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Information & Communication Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Data Architect

Accenture
Canggu, Ubud, Denpasar, Jimbaran, Nusa Dua, Kuta, Badung
Salary Estimate
Rp 50.000.000 – Rp 80.000.000
Newest
Live Update
29 Juli 2026
Deadline
29 Jul 2027

job description

Join Accenture as a Senior Data Architect and lead the design and implementation of cutting-edge data solutions in the vibrant tech hubs of Bali. This role offers the unique opportunity to work with global clients while enjoying the flexibility of remote or hybrid work in paradise.

As a Data Architect, you will shape enterprise data strategies, ensuring scalability, security, and performance. You'll collaborate with cross-functional teams to transform raw data into actionable insights, driving innovation and business growth.

Why Bali? Work from tropical co-working spaces, enjoy world-class beaches, and be part of a thriving expat and digital nomad community. Accenture provides competitive compensation, professional development, and a culture of inclusion.

Responsibility

  • Design and implement scalable data architectures for enterprise-level solutions.
  • Develop data models, databases, and data warehouses to support business intelligence and analytics.
  • Collaborate with stakeholders to define data governance policies and ensure compliance.
  • Optimize data pipelines for performance, reliability, and cost-efficiency.
  • Lead data migration projects from legacy systems to modern cloud platforms.
  • Mentor junior team members and foster a culture of data-driven decision-making.
  • Stay ahead of industry trends in big data, AI, and machine learning.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 7+ years of experience in data architecture, with expertise in SQL, NoSQL, and cloud platforms (AWS, Azure, GCP).
  • Proven track record of designing and deploying large-scale data solutions.
  • Strong knowledge of ETL processes, data integration, and data security best practices.
  • Experience with data visualization tools (Tableau, Power BI) and big data technologies (Hadoop, Spark).
  • Excellent communication skills to bridge technical and business stakeholders.
  • Certifications in data architecture (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus.

Required Skills

Data Architecture SQL NoSQL Cloud Computing ETL Data Modeling Big Data Data Governance AWS Azure GCP Tableau Power BI Hadoop Spark

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