The Role
Design and implement scalable, secure multi-cloud data architectures; support pre-sales with technical presentations, demos, and RFP/RFI responses; produce solution proposals, architecture diagrams, and cost estimates; mentor junior architects and collaborate with stakeholders to translate requirements into analytics-ready solutions.
Summary Generated by Built In
Job Description:
Job TitleTechnical Architect
Years of Experience10+ years
Must-Have Skills- Hands-on experience with AWS and/or Azure and/or GCP data services (e.g., BigQuery, Synapse, Redshift, Databricks) — at least two cloud platforms required
- Strong knowledge of:
- Data modeling
- ETL/ELT pipelines
- Data warehousing
- Analytics platforms
- Expertise in data governance, security, and compliance frameworks
- Ability to create:
- Solution proposals
- Architecture diagrams
- Cost models
- Excellent communication, presentation, and client engagement skills
- Strong hands-on development capability with ability to design and implement solutions
- Experience with Python for data engineering, automation, and prototyping
- Experience mentoring junior architects and building team capabilities
- Experience with SaaS-based tools (e.g., Databricks)
- Experience with MDM tools (e.g., Informatica, Reltio, Profisee)
- Exposure to Agentic AI
- Proven experience in pre-sales solutioning and responding to RFPs/RFIs
- Familiarity with AI/ML integration in data architectures
- Prior consulting experience
- Onsite experience in Europe, UK, or US
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
- Partnering to deliver technical responses for RFPs/RFIs
The ideal candidate combines deep technical expertise with strong client-facing skills to deliver innovative solutions and drive business growth.
Key Responsibilities- Solution Architecture:
Design and implement scalable, secure, 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:
Provide technical responses, create solution narratives, architecture diagrams, and cost estimates - Stakeholder Collaboration:
Work with internal teams and client stakeholders to translate requirements into solutions - Continuous Improvement:
Stay updated on emerging cloud technologies and contribute to internal frameworks and reusable assets - Team Development:
Mentor junior architects and strengthen team capabilities - Strong communication skills and ability to collaborate across technical and business teams
- Bachelor’s or Master’s degree in:
- Computer Science
- Information Systems
- Data Engineering
- Or a related field
- AWS Certified Solutions Architect
- Azure Data Engineer / Azure Solutions Architect
- GCP Professional Data Engineer
- Other relevant cloud or data architecture certifications are a plus
12:00 PM – 9:00 PM IST
Location:
DGS India - Pune - Kharadi EON Free ZoneBrand:
MerkleTime Type:
Full timeContract Type:
PermanentSkills Required
- 10+ years of experience
- Hands-on experience with AWS and/or Azure and/or GCP data services (requires at least two cloud platforms)
- Strong knowledge of data modeling, ETL/ELT pipelines, data warehousing, and analytics platforms
- Expertise in data governance, security, and compliance frameworks
- Ability to create solution proposals, architecture diagrams, and cost models
- Excellent communication, presentation, and client engagement skills
- Strong hands-on development capability and ability to design and implement solutions
- Experience with Python for data engineering, automation, and prototyping
- Experience mentoring junior architects and building team capabilities
- Experience with SaaS-based data tools (e.g., Databricks)
- Experience with MDM tools (e.g., Informatica, Reltio, Profisee)
- Exposure to Agentic AI
- Bachelor's or Master's in Computer Science, Information Systems, Data Engineering, or related field
- Any 2 relevant certifications (e.g., AWS Certified Solutions Architect, Azure Data Engineer/Azure Solutions Architect, GCP Professional Data Engineer)
- Proven experience in pre-sales solutioning and responding to RFPs/RFIs
- Familiarity with AI/ML integration in data architectures
- Prior consulting experience
- Onsite experience in Europe, UK, or US
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
-
Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
-
Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
-
Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
