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