Senior Data Architect

Tata Consultancy Services; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading IT solutions provider is seeking a Senior Data Architect in Singapore with over 12 years of experience. The ideal candidate must have expertise in presales solutioning, multi-cloud environment architecture, and excellent communication skills. Responsibilities include engaging with executives, designing scalable data solutions, and traveling onsite post-contract. Qualification in data management tools is a plus. This position promises to leverage cutting-edge technologies across various platforms.

Qualifications

• 12+ years of experience in data architecture and presales solutioning.
• Hands-on experience with AWS, Azure, GCP, Snowflake, and legacy databases.
• Expertise in designing scalable, secure, and cost-optimized cloud solutions.

Responsibilities

• Engage with CXOs and technical teams for solutioning.
• Travel onsite for short durations to stabilize delivery teams.
• Design hybrid and multi-cloud data solutions.

Skills

Presales solutioning for data analytics

Multi-cloud solutions architecture

Strong communication skills

Data Governance tools assessment

Flexibility to travel

Tools

AWS

Azure

GCP

Snowflake

Oracle

Hadoop

Power BI

Job description

Senior Data Architect

Location: Singapore

Experience: 12+ Years

Must Have

• Proven experience in presales solutioning for RFP/RFI/BQ processes across data analytics, AI/ML, and modern data platforms.
• Mandatory awareness and hands-on exposure to all five variants: AWS, Azure (including Fabric, Synapse, Databricks), GCP, Snowflake, and on-prem (legacy DBs and big data ecosystems).
• Strong architectural expertise in designing hybrid and multi-cloud solutions with scalability, security, and cost optimization.
• Excellent communication and stakeholder management skills, capable of engaging CXO-level executives and technical teams.
• Flexibility to travel and work onsite for short durations post-contract sign-off to stabilize delivery teams and ensure customer confidence.
• Cloud & Hybrid Platforms: 5 Years of Solution Architecting Experience in AWS, Azure (Fabric, Synapse, Databricks), GCP, Snowflake.
• On-Prem & Big Data: 5 Years of solution design and application architecture experience in Oracle, DB2, Cloudera, Hadoop, Hive, Spark.
• Data Management: 2 years of recommendation assessment experience in Governance tools, DQMS, lineage frameworks (Purview, Informatica, Collibra).

Good To Have

• Generative AI & LLMs: at least 1 year of solution design experience in Azure OpenAI, AWS Bedrock, Google Vertex AI.
• BI & Visualization: at least 1 year of solution design experience in Power BI, Tableau, Qlik or similar tools for analytics storytelling.
• Advanced Orchestration: 1 year of solution design experience in Airflow, Data Factory, or equivalent for pipeline automation.