Software Architect (Cloud, Data Engineering)

Guide the data architecture track of Discovery: platform design, technology selection, and assessment of existing client data systems

Collaborate on the specification baseline - your data platform design and the delivery requirements produce one artifact the team commits to

Establish and uphold data modeling standards (Kimball, Data Vault, or hybrid) appropriate to each client context

Create and maintain architecture decision records (ADRs) that explain what was decided, what was rejected, and why

Establish pipeline security, governance, and compliance posture: access control, data lineage, PII handling, audit architecture

Provide guidance to Senior Data Engineers on architecture standards and cross-engagement technical questions throughout delivery

Identify and flag data-layer risk at design time - scalability, compliance, integration, observability - before the build starts

Responsible for the data engineering hiring bar and practice standards; build the data capability across the organization.

Holds a bachelor's degree or higher in IT, computer science, or related field, with a preference for a master's degree or equivalent experience

Has 7+ years of experience in data engineering or data architecture, including at least 3 years in a senior or lead role making platform-level decisions

Demonstrates hands-on engineering capability, capable of contributing at a Senior Data Engineer level when necessary, rather than only designing from a distance

Able to assess an existing client data system and generate a practical technical baseline

Proficient in reviewing and guiding AI-generated code, identifying correctness, security, and quality issues promptly

Possesses strong business-level English skills to engage in architecture conversations with client CTOs and technical leadership

Familiarity with data lakehouse architecture (Delta Lake, Iceberg, or Hudi), understanding design trade-offs, not just implementation

Proficiency in cloud data platforms such as AWS (S3, Glue, Athena, Redshift, Lake Formation) and/or Snowflake at both design and performance-tuning levels

Experience with infrastructure-as-code tools like Terraform, Pulumi, or equivalent, able to design and review, not just author

Expertise in data governance and security, encompassing lineage, access control, PII classification, and compliance-aware architecture from the outset

Proficiency in orchestration and observability tools like Airflow, dbt, or equivalent, capable of evaluating and recommending across options

Experience with multi-cloud or hybrid cloud data architecture, handling AWS, Snowflake, Azure, or GCP simultaneously in a single engagement

Proficiency in ML pipeline infrastructure, including feature stores, model registries, and data versioning, and understanding how data architecture supports AI/ML at scale

Experience in independently owning both the data architecture design and the delivery commitment on the same engagement

Deep knowledge of at least one regulated data domain, such as healthcare (HIPAA, HL7, FHIR), pharmaceutical (21 CFR Part 11), financial services, or equivalent

Earn 100% gross salary from day one, even during probationary period.

Enjoy remote-first work, flexible hours, and monthly internet and computer stipends.

Receive 15 days of annual leave, plus public holidays.

Access full Social Insurance coverage based on your gross salary from Day 1.

Receive premium private healthcare after probation period.

Get annual 13th-month bonus and performance-based rewards aligned with Annual Performance Review.

Participate in offline team bonding, annual company trips, and a year-end celebration.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666