Data Architect

Overview

Our client is a rapidly growing Data and AI consulting firm delivering impactful solutions across the Asia-Pacific region. As an AWS-exclusive partner , they specialize in helping organizations modernize their data platforms, adopt advanced analytics, and implement AI-driven solutions that deliver measurable business outcomes.

They are looking for an experienced Data Architect to design and deliver enterprise-grade cloud data solutions supporting large-scale transformation initiatives across the APAC region. You will collaborate closely with clients, partners, and cloud providers to define and implement modern data and AI platforms.
Responsibilities

- Design secure, scalable, and modern cloud-based data architectures that support digital transformation programs.

- Ensure data platforms adhere to governance, privacy, and regulatory compliance requirements.

- Translate complex technical solutions into clear business value for stakeholders and leadership teams.

- Provide technical leadership and mentorship to engineers and architects across distributed teams.

- Collaborate with cloud providers, partners, and clients to co-develop innovative solutions and accelerators.

- Lead solution architecture across the full lifecycle, from pre-sales (RFPs, solution design) to implementation and delivery oversight.

- Drive best practices in performance optimization, cost efficiency, and long-term scalability.

- Deliver high-impact solutions that improve customer experience, operational efficiency, and decision-making capabilities.

Required Skills & Experience
Industry & Domain Expertise

- Proven experience delivering large-scale, mission-critical projects within:

- Financial services (e.g., core systems modernization, fraud detection, risk & compliance)

- Telecommunications (e.g., OSS/BSS, network analytics, customer platforms)

- Strong understanding of regulatory and compliance frameworks such as PDPA, MAS TRM, APRA, and GDPR.

Cloud & Data Architecture

- At least 5+ years of experience designing AWS-based data platforms .

- Expertise in building data lakes, real-time data streaming solutions, and analytics platforms.

- Experience with hybrid and multi-cloud environments.

- Hands-on experience with AWS services such as S3, Redshift, Glue, EMR, Lambda, DynamoDB, and Athena.

Data Engineering & Governance

- Strong knowledge of data governance, lineage, quality, cataloging, and security.

- Experience designing and optimizing scalable data pipelines.

- Familiarity with ETL/ELT frameworks and tools (e.g., Glue, Kafka, Airflow, Spark/Hadoop ecosystem).

Databases & Analytics

- Deep understanding of data warehousing, MPP systems, and NoSQL databases.

- Experience with SQL-based analytics tools (e.g., Hive, Spark SQL, Athena, Redshift Spectrum).

- Proficiency in programming languages such as Python, Java, or Scala.

Leadership & Delivery

- Experience owning end-to-end solution delivery from pre-sales to implementation.

- Strong stakeholder management skills, including engagement with senior leadership.

- Ability to translate technical concepts into business outcomes.

- Proven experience leading and mentoring distributed teams.

- Willingness to travel for client and project engagements.

Preferred Qualifications

- Experience with Generative AI data integration (e.g., vector databases, embeddings).

- Exposure to multi-country or cross-regional projects.

- Familiarity with other cloud platforms (Azure, GCP).

- Thought leadership contributions (e.g., speaking engagements, publications, open-source work).

- Experience supporting go-to-market initiatives or solution accelerators.

- Knowledge of disaster recovery and backup strategies for large-scale systems.

What They Offer

- Competitive compensation and benefits package.

- Your work directly contributes to real-world AI solutions and business outcomes.

- Opportunities for continuous learning, mentorship, and career growth.

- A collaborative and h