Data Platform Architect

2 weeks ago

Jakarta, Jakarta, Indonesia Avanade Full time

Job Description

Summary

Our talented Data & AI Practice is made up of globally recognized experts - and there's room for more analytical and ambitious data professionals. If you're passionate about helping clients make better data-driven decisions to tackle their most complex business issues, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.

As a Data Platform Architect within our Data & AI Practice, you'll leverage a client-centric approach to translate our client's business strategy into solutions and services that lead to successful, impactful outcomes. You ' ll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shape the strategic direction around data architecture. Together we do what matters.

Key Responsibilities

  • Design, document, and maintain end-to-end data platform architectures, ensuring alignment with enterprise data strategy and business goals.

  • Lead the development and implementation of scalable, secure, and high-performance data solutions across cloud and on-premises environments.

  • Define and enforce data architecture standards, best practices, and governance frameworks for data engineering and warehousing initiatives.

  • Collaborate with stakeholders, including business leaders, data engineers, and solution architects, to translate requirements into robust data platform designs.

  • Oversee the integration of data from multiple sources, ensuring data quality, lineage, and compliance with security and privacy regulations.

  • Guide the adoption of modern data platform technologies (such as Azure, Databricks, Microsoft Fabric), and medallion/layered architectures for data lakes and warehouses.

  • Mentor and onboard data engineering teams, providing architectural direction and technical leadership throughout project lifecycles.

  • Participate in architecture governance forums and contribute to the continuous improvement of data platform capabilities.

Qualification

Skills and experiences

  • 10–12 years of experience in data engineering, data warehousing, or related fields, with a strong track record of architecting enterprise-scale data platforms.

  • Deep expertise in data modeling , database design, and big data architectures (relational, NoSQL, cloud-native, and hybrid).

  • Proficiency in ETL/ELT techniques, data integration, and orchestration tools (such as Azure Data Factory, Databricks, Airflow).

  • Hands-on experience with cloud platforms (Azure, AWS, GCP), data lake and warehouse solutions, and modern analytics stacks.

  • Strong programming skills in Python, SQL, and familiarity with Spark, Hadoop, or similar frameworks.

  • Knowledge of data governance, security, compliance, and data lifecycle management.

  • Experience leading cross-functional teams, managing stakeholders, and driving architectural decisions in complex environments.

  • Excellent communication, documentation, and presentation skills, with the ability to influence technical and business audiences.

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