Data Architect - #34640 at Manila Recruitment

, , Philippines -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

0.0

Posted On

10 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, SQL, Python, Azure, Data Engineering, ETL, Data Modeling, Data Quality, Multi-Tenant SaaS, Cosmos DB, Feature Stores, CI/CD, Observability, Security, Compliance, Performance Engineering

Industry

Staffing and Recruiting

Description

As a Data Architect, you will own our SQL data estate, design scalable pipelines, and lead data enrichment across our Azure-first platform. You’ll 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. 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.

Responsibilities

As a Data Architect, you will own the SQL data estate, design scalable pipelines, and lead data enrichment across the Azure-first platform. You will establish data contracts, govern schema evolution, and implement performance engineering strategies.