Cloud Technical Architect — Data Modernization (Presales)
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Position Summary
We are seeking a senior Cloud Technical Architect with deep expertise in data lake architecture, data management, and cloud-native data services to join our presales and consulting practice. In this role, you will serve as the primary technical authority during client engagement cycles — translating complex data modernization challenges into compelling architectural solutions and winning proposals. You will work closely with sales, delivery, and partner teams (AWS, Azure, GCP) to shape data modernization strategies for enterprise clients across industries.
Key Responsibilities
Presales & Client Engagement
• Lead technical discovery sessions to understand clients' current data landscape, pain points, and business goals.
• Design and present end-to-end data modernization architectures including data lake, data lakehouse, data mesh, and cloud data warehouse solutions.
• Develop Proof of Concept (PoC) demonstrations and reference architectures aligned to client use cases.
• Respond to RFPs, RFIs, and RFQs by authoring high-quality technical proposals, solution narratives, and architecture diagrams.
• Articulate business value and ROI of proposed data modernization initiatives to both technical and executive audiences.
Technical Architecture & Advisory
• Architect scalable, cloud-native data platforms leveraging services such as:
◦ AWS: S3, Lake Formation, Glue, Redshift, EMR, Kinesis, Athena, DataZone
◦ Azure: ADLS Gen2, Azure Data Factory, Synapse Analytics, Purview, Databricks
◦ GCP: BigQuery, Dataproc, Dataflow, Dataplex, Looker
• Design data management frameworks covering data governance, data quality, metadata management, data lineage, and master data management (MDM).
• Define modern data integration patterns including batch, streaming, CDC (Change Data Capture), and event-driven architectures.
• Advise on data security, access control, encryption at rest/in transit, and compliance with data privacy regulations (PDPA, GDPR).
• Evaluate and recommend tools across the modern data stack: dbt, Apache Iceberg, Delta Lake, Apache Kafka, Airflow, and more.
Consulting & Delivery Support
• Act as a trusted advisor to clients, providing data strategy and platform roadmap guidance.
• Collaborate with delivery teams during project initiation to ensure architectural alignment and a smooth handover from presales.
• Conduct data maturity assessments and gap analysis workshops, producing actionable remediation roadmaps.
• Contribute to the development of reusable accelerators, solution blueprints, and best practice documentation within the practice.
Partnership & Ecosystem
• Maintain and deepen technical relationships with cloud provider partner teams (AWS, Azure, GCP) to stay current on new data services and co-selling opportunities.
• Participate in partner certification tracks and contribute to practice-level go-to-market positioning.
• Represent the company at technical forums, industry events, and cloud partner summits.
Qualifications & Requirements
Education
• Bachelor’s degree or higher in Computer Science, Information Technology, Data Engineering, or a related field.
Experience
• 8+ years of experience in IT, with at least 5 years focused on cloud data architecture and data platform engineering.
• 3+ years of experience in a presales, technical consulting, or solution architecture capacity.
• Hands-on experience designing and implementing data lake or data lakehouse solutions on at least one major cloud platform (AWS, Azure, or GCP).
• Proven experience advising enterprise clients on data modernization, cloud migration of data workloads, or analytics platform transformation.
• Strong proficiency in SQL; working knowledge of Python, Spark, or Scala for data engineering contexts.
• Familiarity with Infrastructure-as-Code (Terraform, CDK) and DevOps practices for data platform deployments.
• Understanding of data storage formats: Parquet, ORC, Avro, Delta, Iceberg.
• Experience with BI/Analytics tools: Power BI, Tableau, Looker, or equivalent.
Certifications (Preferred)
• AWS Certified Data Engineer – Associate or Professional
• AWS Certified Solutions Architect – Professional
• Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect Expert
• Google Professional Data Engineer or Professional Cloud Architect
• Databricks Certified Data Engineer (Professional)
Workplace type:
Hybrid WorkingAbout NTT DATA
NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.
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