Manila Recruitment

Data Architect

Manila Recruitment

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇵🇭 Philippines

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Job Level

SeniorLead

Tech Stack

AzureETLPandasPostgresPySparkPythonSQLTerraformVault

About the role

  • Own our SQL data estate, design scalable pipelines, and lead data enrichment across our Azure-first platform.
  • Set the standards for modelling, quality, security, and cost while writing production-grade Python and SQL daily.
  • Design and evolve schemas for OLTP/OLAP (Azure SQL, Synapse, Delta Lake), with partitioning, indexing, and RLS for multi-tenant isolation.
  • Establish data contracts and versioning, govern schema evolution, and implement CDC +SCD patterns.
  • Performance engineering: query tuning, resource classes, caching strategies, and cost guardrails.
  • Architect ELT/ETL across batch & streaming using Azure Data Factory/Synapse/Databricks, Event Hubs/Service Bus, Functions, and Container Apps/AKS.
  • Build reliable, observable pipelines (idempotent, retryable, lineage-aware) with SLAs/SLOs and runbooks.
  • Implement CI/CD for data (dbt/SQL projects, PySpark jobs, tests) using GitHub Actions and IaC (Terraform/Bicep).
  • Define and operate enrichment layers: UPC/GS1, OCR/EXIF metadata, taxonomies, embeddings, and third-party data joins.
  • Curate gold/semantic models for analytics & product APIs; manage feature/metric definitions and documentation.
  • Partner with DS/ML to operationalize feature stores, model outputs, drift signals, and evaluation tables.
  • Own reference architecture across ADLS Gen2, Synapse/Databricks, Azure SQL/SQL Server, Cosmos DB (incl. vector), Azure AI Search, Key Vault, Purview.
  • Security & compliance by default: encryption, secret management, RBAC/ABAC, data retention and GDPR/SOC 2 controls.
  • Observability: OpenTelemetry + Azure Monitor/App Insights, data quality tests, freshness SLAs, and lineage in Purview.

Requirements

  • Extremely strong Python & SQL (you can diagnose complex query plans, write PySpark and pandas with equal ease).
  • 7+ years in data engineering/architecture with production ownership of SQL databases and pipelines.
  • Deep Azure experience: ADLS Gen2, Data Factory/Synapse/Databricks, Azure SQL/SQL Server, Functions, Event Hubs/Service Bus, Key Vault.
  • Proven design skills in data modeling (star/snowflake, Data Vault/Lakehouse), CDC/SCD, and semantics (dbt or equivalent).
  • Track record implementing data quality frameworks, lineage, and cost/performance guardrails at scale.
  • Strong understanding of multi-tenant SaaS, security, and privacy (GDPR basics).
  • Cosmos DB (incl. vector) and Azure AI Search; embedding pipelines for images/text.
  • Feature stores, MLflow/registries, real-time inference plumbing.
  • SQL Server internals, PolyBase/Serverless SQL; Postgres familiarity.
  • Purview rollouts, governance programs, and data product operating models.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSQLPySparkpandasdata modelingCDCSCDquery tuningELTETL
Soft skills
leadershipcollaborationproblem-solvingcommunicationorganizational skills