Data Platform Consultant (Senior / Team Lead)

Data Platform Consultant (Senior / Team Lead)

Data Platform, Data Governance & AI Data Foundation – Bangkok, Thailand

Position Summary

We are seeking an experienced and business-oriented Data Platform Consultant (Senior / Team Lead) to join our growing Data & AI team. This role combines consulting, solution architecture, technical leadership, business development support, project delivery, and customer engagement .

You will work closely with enterprise clients, sales teams, architects, and engineers to deliver modern Data Platform solutions , including databases, data engineering, data governance (including OpenMetadata), analytics platforms, cloud data services, and AI-ready data architectures. The ideal candidate is able to translate business requirements into scalable technical solutions while engaging effectively with both technical and executive stakeholders.

Role Overview

The Data Platform Consultant is responsible for designing, implementing, and supporting enterprise-grade Data Platform solutions that enable:

• Data management and governance
• Analytics and reporting platforms
• AI and machine learning readiness
• Modern cloud data architecture

This role spans consulting, solution architecture, technical delivery, customer engagement, and continuous platform improvement .

Depending on experience, the role may also include leading technical teams, mentoring engineers, and supporting business development initiatives.

Key Responsibilities

• Business Consulting & Customer Engagement
• Engage with clients to understand business objectives and data challenges
• Conduct workshops, discovery sessions, and assessments
• Translate business requirements into scalable technical solutions
• Support Sales and Presales activities
• Contribute to proposals, SOWs, roadmaps, and estimations
• Data Platform & Solution Architecture
• Design enterprise-scale Data Platform architectures
• Develop High-Level Design (HLD) and Low-Level Design (LLD)
• Design solutions covering:
• Data Warehouse
• Data Lake / Lakehouse
• Analytics Platforms
• Data Governance Platforms
• Streaming Data Platforms
• AI-ready Data Foundations
• Define data integration, storage, governance, security, and lifecycle strategies
• Recommend modernization and cloud adoption strategies
• Data Engineering & Platform Delivery
• Implement and deliver Data Platform solutions
• Support data ingestion, transformation, and integration processes
• Participate in migration and modernization projects
• Ensure scalability, reliability, performance, and operational readiness
• Support deployment, testing, and handover to operations
• Data Governance & Data Management
• Support implementation of Data Governance frameworks
• Implement Data Quality, Metadata Management, Data Catalog, and Data Lineage solutions
• Work with OpenMetadata for metadata-driven governance and cataloging
• Support Master Data Management (MDM) initiatives
• Ensure compliance with data management standards and regulations
• Data Integration & Streaming
• Design and support ETL/ELT and CDC pipelines
• Support batch and real-time data processing architectures
• Contribute to event-driven and streaming solutions
• Platform Monitoring, Security & Optimization
• Implement monitoring and observability practices
• Support performance tuning and capacity planning
• Ensure security, access control, and compliance requirements
• Improve reliability and operational efficiency of platforms
• Technical Leadership
• Provide technical guidance and mentoring to team members
• Lead technical workstreams and delivery execution
• Support project planning and governance activities
• Collaborate with Sales and Presales teams on solution design
• Act as a trusted advisor for Data Platform strategy and modernization
• Define standards and reusable architecture frameworks
• Support internal knowledge sharing and capability development

Qualifications

Education

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Data Science, or related field

Experience

• 5+ years of experience in Data Platform, Data Engineering, DBA, Data Architecture, or Data Governance
• Experience delivering enterprise data projects and customer-facing engagements
• Experience in consulting, system integrator, or professional services environments is preferred

Technical Skills

• Database: RDBMS, performance tuning, HA, backup & recovery, DR, migration (Oracle, SQL Server, PostgreSQL, MySQL, Azure SQL, AWS RDS)
• Data Platforms: Data Warehouse, Data Lake, Lakehouse, data modeling & pipelines (Snowflake, Databricks, BigQuery, Redshift, Synapse, Microsoft Fabric)
• Data Integration: ETL/ELT, CDC, data ingestion, batch & real-time processing (Kafka, Airflow, dbt, SSIS, Informatica, Talend)
• Big Data: distributed processing & large-scale data workloads (Spark, Flink, Hadoop, Databricks)
• Data Governance: data quality, metadata, catalog, lineage, MDM, compliance (Collibra, Alation, Informatica, OpenMetadata)
• Cloud: cloud data platforms and hybrid/multi-cloud architecture (AWS, Azure, GCP, OCI)
• AI & Analytics (Optional): AI-ready data architecture, ML/GenAI support (Azure AI Search, OpenSearch, Pinecone, Weaviate, pgvector)
• Monitoring: observability, performance, security, operations (Datadog, Dynatrace, Prometheus, Grafana, Splunk, Zabbix)

Soft Skills

• Strong analytical and problem-solving abilities
• Excellent communication and stakeholder management skills
• Customer-facing consulting mindset
• Strong leadership and mentoring capabilities
• Business-oriented thinking
• Ability to work independently and in teams
• Strong English communication skills

Preferred Qualifications

• Experience in Data Modernization or Cloud Transformation programs
• Exposure to AI/ML or Advanced Analytics initiatives
• Experience in consulting, SI, or managed services environments
• Cloud or Data Platform certifications
• Experience across enterprise industries (Banking, Telco, Retail, Manufacturing, etc.)