Data Architect

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October 10

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Manila Recruitment

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Recruitment • Enterprise

Manila Recruitment is a leading recruitment agency based in the Philippines, specializing in innovative talent sourcing and headhunting services. The agency provides a wide range of recruitment solutions including executive search, IT recruitment, offshore staffing solutions, remote staffing, and more. With a focus on understanding clients' strategic business objectives, Manila Recruitment offers tailored recruitment strategies for multinationals, corporations, and start-ups entering the Filipino market. The firm prides itself on a process-driven approach, offering comprehensive candidate guarantees and a database of over 250,000 candidates. Certified headhunters at Manila Recruitment are dedicated to passive candidate sourcing, ensuring quality hires that align with company culture and requirements.

11 - 50 employees

Founded 2010

🎯 Recruiter

🏢 Enterprise

📋 Description

• 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.