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H3Tech Inc.

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Software Architect (Cloud, Data Engineering)

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Description

Top 3 Reasons To Join Us

Remote-first, flexible hours and monthly stipends

100% gross salary & Full SHUI coverage from Day 1

Private healthcare for you and your loved one(s)

The Job

The Role

You own the data architecture for H3Tech's most complex client engagements - from the first day of Discovery through delivery. Your architecture decisions and the delivery team's data requirements converge into a single platform design the entire engagement builds from. You also set the standards that apply across H3Tech's data engineering practice and make the calls that sit above what a Senior Data Engineer can resolve.

What You're Responsible For

  • Lead the data architecture track of Discovery: platform design, technology selection, and assessment of existing client data systems
  • Co-own the specification baseline — your data platform design and the delivery requirements produce one artifact the team commits to
  • Define and enforce data modeling standards (Kimball, Data Vault, or hybrid) appropriate to each client context
  • Produce and maintain architecture decision records (ADRs) that explain what was decided, what was rejected, and why
  • Set pipeline security, governance, and compliance posture: access control, data lineage, PII handling, audit architecture
  • Advise 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
  • Own the data engineering hiring bar and practice standards; build the data capability across H3Tech

Your Skills and Experience

Required

  • Bachelor's or above in IT, computer science, or related; master's or equivalent depth preferred
  • 7+ years in data engineering or data architecture, with at least 3 years in a senior or lead capacity owning platform-level decisions
  • Hands-on engineering capability: able to contribute at Senior Data Engineer level when the engagement requires it, not just design from a distance
  • Has assessed an existing client data system and produced an actionable technical baseline from it
  • Comfortable reviewing and steering AI-generated code at volume; able to catch correctness, security, and quality issues at pace
  • Business-level English - strong enough to own architecture conversations with client CTOs and technical leadership

Technical Skills

  • Data lakehouse architecture: Delta Lake, Iceberg, or Hudi — design trade-offs, not just implementation
  • Cloud data platforms: AWS (S3, Glue, Athena, Redshift, Lake Formation) and/or Snowflake at design and performance-tuning depth
  • Infrastructure-as-code: Terraform, Pulumi, or equivalent — can design and review, not just author
  • Data governance and security: lineage, access control, PII classification, compliance-aware architecture from day one
  • Orchestration and observability: Airflow, dbt, or equivalent — can evaluate and recommend across options, not just use one

Strong Advantage

  • Multi-cloud or hybrid cloud data architecture: AWS + Snowflake + Azure or GCP in the same engagement
  • ML pipeline infrastructure: feature stores, model registries, data versioning — how data architecture supports AI/ML at scale
  • Has independently owned both the data architecture design and the delivery commitment on the same engagement

Domain & Compliance

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

Why You'll Love Working Here

H3T Life Kit


Financial & Health Benefits

  • 100% gross salary from Day 1, including your probation period.
  • Full SHUI contributions based on your gross salary.
  • Premium healthcare coverage for you and your loved one(s).
  • 13th-month salary and annual performance-based bonuses.
  • Regular performance reviews: twice a year for Junior-level employees and annually for Senior-level employees and above.

Work-Life Balance & Connection

  • Remote-first culture with flexible working hours and a monthly internet allowance.
  • 15 paid leaves, plus public holidays.
  • Team bonding activities, annual company trips, and year-end celebrations.

Modern Tools & Skill Advancement

  • High-performance laptop and premium AI tools (Claude, GitHub Copilot, or more) from Day 1.
  • A clear and transparent career roadmap to support your long-term growth.

Skills

What Senior Data Engineering jobs ask for — and how much of it you have →
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See also

Data Engineering jobs by country — openings, pay and top skills →