Data Architect
nameJob Description
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 high-performing work environment.
- Exposure to regional and international projects
Originally posted on Himalayas
