Technical Architect - Data Engineer

Dentsu Global Services; Bengaluru; Hybrid; INR 3,500,000 - 6,500,000; Full time

Job summary

Dentsu Global Services seeks an experienced Data Architect to design scalable data architectures across multi-cloud platforms such as AWS, Azure, and GCP. You will support pre-sales activities, craft solution narratives, and collaborate on RFP/RFI responses.

You will mentor junior architects, engage with client stakeholders, and stay updated on emerging cloud technologies to drive innovative solutions and business growth.

Qualifications

• 10+ years of experience in cloud data architecture and design.
• Hands-on with at least two cloud data services (AWS/Azure/GCP).
• Strong data modelling, ETL/ELT, data warehousing and analytics knowledge.
• Expertise in governance, security, and compliance frameworks.
• Ability to draft proposals, diagrams and cost models.

Responsibilities

• Design scalable, secure data architectures across multi-cloud platforms.
• Provide pre-sales support with technical presentations and demos.
• Collaborate on RFP/RFI responses with architecture narratives and diagrams.
• Engage stakeholders to translate requirements into concrete designs.
• Mentor junior architects and contribute to reusable assets.

Skills

Cloud architecture

Data modelling

ETL/ELT pipelines

Data warehousing

Data governance

Security & compliance

Pre-sales support

Python

Client engagement

Mentoring

AI integration

Education

Bachelor's or Master's in CS / IS / Data Engineering

Tools

AWS

Azure

GCP

BigQuery

Synapse

Redshift

Databricks

Job description

Job Description:

We are seeking a highly skilled Data Architect with expertise in multi-cloud environments (AWS, Azure, GCP). The role involves designing scalable data architectures, providing pre-sales support, and parterning to provide technical responses for RFPs/RFIs. The ideal candidate will combine deep technical knowledge with strong client-facing communication skills to deliver innovative solutions and drive business growth.

Key Responsibilities:

• Solution Architecture: Design and implement scalable, secure, and high-performance data architectures across multi-cloud platforms.
• Pre-Sales Support: Collaborate with sales teams, deliver technical presentations, demos, and proof-of-concepts.
• RFP/RFI Management: Partner to provide technical responses, craft solution narratives, architecture diagrams, and cost estimates.
• Stakeholder Collaboration: Partner with internal teams and engage with client stakeholders to translate requirements into actionable designs.
• Continuous Improvement: Stay updated on emerging cloud technologies and contribute to internal frameworks and reusable assets.
• Team Development: Guide and mentor junior architects, fostering growth and capability development within the team.
• Strong communication skills and ability to collaborate effectively across technical and business teams.

Must Have Skills:

• 10+ years of experience in cloud architecture.
• Hands-on experience with AWS and/or Azure and/or GCP data services (BigQuery, Synapse, Redshift, Databricks, etc.). Any two cloud experience
• Strong knowledge of data modelling, ETL/ELT pipelines, data warehousing, and analytics platforms.
• Expertise in data governance, security, and compliance frameworks.
• Ability to prepare solution proposals, architecture diagrams, and cost models.
• Excellent communication, presentation, and client engagement skills.
• Should be hands-on in development, with the ability to design and implement solutions directly.
• Experience in Python for data engineering, automation, and solution prototyping.
• Mentor junior architects to develop technical capabilities and strengthen the overall architecture practice.
• SAAS based tools experience (Databricks etc)
• Agentic AI skills

Good to Have Skills

• Proven track record in pre-sales solutioning and responding to RFPs/RFIs.
• 'Familiarity with AI/ML integration into data architectures.
• Prior experience in consulting.
• Onsite experience in Europe / UK / US

Education Qualification-

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.

Certification

If Any 2 of the below

• AWS Certified Solutions Architect
• GCP Professional Data Engineer
• Other relevant cloud or data architecture certifications are a plus.