Lead Consultant, Data Architecture – Engineering

Job not on LinkedIn

🕒 September 10

🇵🇭 Philippines – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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TASQ Staffing Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤝 B2B

🎯 Recruiter

👥 HR Tech

B2B • Recruitment • HR Tech

TASQ Staffing Solutions is a recruitment and staffing firm based in Makati, Philippines that helps businesses hire qualified talent faster through staffing, recruitment, and talent acquisition services focused on speed, quality, and fit. Founded by recruitment experts with over 70 years of collective experience, TASQ supports hiring across executive, mid-level, entry-level, multilingual, and technical roles, and offers Recruitment Process Outsourcing and scalable talent acquisition support for companies ranging from growing businesses to Fortune 500 enterprises. The company emphasizes a people-first approach and reliable candidate matching to build stronger teams.

📋 Description

• Provide technical leadership for small to medium sized technical teams • Allocate and distribute work among team members • Handle technical escalations and support • Represent the team in Agile ceremonies and client meetings • Make technical decisions and guide and mentor junior team members • Develop relationships with project, client, and company leadership while remaining hands-on • Design and implement logical and physical data models for cloud and hybrid data warehouse environments • Implement data architectures supporting structured, semi-structured, and unstructured data • Deliver full life-cycle data warehouse implementations • Design data architectures supporting data integration processing • Perform data profiling and create source-to-target mappings • Provision and configure Azure data service resources • Build data pipelines from requirements • Work with APIs and potentially create APIs • Develop strategies to migrate customers from on-premise environments to Azure

🎯 Requirements

• Experience leading small to medium sized technical teams, including work allocation/distribution, technical escalation and support, and representing the team in Agile ceremonies and client meetings • Expertise in designing and implementing logical and physical data models for cloud and hybrid data warehouse environments • Experience implementing data architectures supporting structured, semi-structured, and unstructured data • Experience with multiple full life-cycle data warehouse implementations • Understanding of data architectures required to support data integration processing • Experience with data modeling technologies such as ER/Studio, ER/Win, or similar • Experience with Microsoft Azure Data Platform services including Azure Data Lake Store, Azure Storage, Azure Synapse, Azure Data Factory, Azure SQL Database, Logic Apps, and APIs • Demonstrated ability to quickly learn, adopt, and apply new technologies • Data profiling and creation of source-to-target mappings • Ability to provision and configure Azure data service resources • Python and SQL scripting • SQL and PySpark • General cloud architecture competency; capable of taking requirements and building data pipelines • API knowledge required; preference for candidates who can create APIs • Microsoft Fabric • Microsoft Azure Cosmos DB, Data Flows, Express Route, and Azure Active Directory • Experience creating strategies to migrate customers from on-premise environments to Azure • Power BI and semantic modeling • AWS Glue and Azure Data Factory • AWS S3 and Azure Blob • AWS Athena and Azure Databricks • AWS Redshift and Azure Synapse • AWS ECS and Azure AKS

🏖️ Benefits

• Competitive compensation package • Allowance • Standard benefits • Quarterly performance-based cash bonus • Annual performance-based cash bonus • Other remuneration • Flexible work location • Remote work setup • Midshift schedule