SENIOR DATA ARCHITECT MANAGER
TATA CONSULTANCY SERVICES ASIA PACIFIC PTE. LTD.
Singapore
On-site
SGD 80,000 - 120,000
Full time
Job summary
A global consulting firm in Singapore is seeking a Solution Architect to lead presales engagements and design multi-cloud solution architectures. The role requires strong hands-on experience with AWS, Azure, GCP, and big data platforms. Excellent communication skills and the ability to engage with CXO-level executives are essential. This position offers opportunities for travel and onsite collaboration.
Qualifications
- 5 years of solution architecting experience in Cloud & Hybrid Platforms.
- Proven experience in presales solutioning for RFP/RFI/BQ processes.
- Strong architectural expertise in hybrid and multi-cloud solutions.
Responsibilities
- Lead presales engagements for RFPs and ensure high-quality responses.
- Design and present solution architectures for multi-cloud environments.
- Conduct workshops to define solution scope and business objectives.
Skills
Cloud & Hybrid Platforms
On-Prem & Big Data
Data Management
Tools
AWS
Azure
GCP
Snowflake
Oracle
Cloudera
Hadoop
Spark
Job Description
- Lead presales engagements for RFPs, RFIs, and bid qualification (BQ), ensuring timely and high‑quality responses aligned with customer requirements.
- Design and present end‑to‑end solution architectures covering multi‑cloud (AWS, Azure, GCP), Snowflake, and on‑prem ecosystems, including legacy (Oracle, DB2) and big data platforms (Cloudera, Hadoop, Hive, Spark).
- Conduct discovery workshops and whiteboarding sessions to capture business objectives, technical constraints, and define solution scope.
- Prepare detailed architecture diagrams, execution approaches, and high‑level resource plans for proposals and customer presentations.
- Collaborate with sales and delivery teams to craft winning proposals, including technical write‑ups, cost models, and delivery methodologies.
- Engage in proactive customer interactions via face‑to‑face meetings and Teams sessions, driving clarity and confidence in proposed solutions.
- Support post‑SoW sign‑off activities, including delivery team onboarding, initial stabilization at customer site, and knowledge transfer.
- Create quick sketches and diagrams during customer sessions to illustrate concepts and accelerate decision‑making.
- Advise on data governance, DQMS, lineage, and compliance frameworks, ensuring solutions meet enterprise standards.
- Stay updated on emerging technologies in AI/ML, data engineering, and governance, incorporating best practices into presales strategies.
Requirements
- 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.
Must‑Have Skills
- 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.