dentsu

Technical Architect

Reposted 2 Hours Ago

Be an Early Applicant

In-Office

2 Locations

Senior level

In-Office

2 Locations

Senior level

The Technical Architect will design and oversee data platforms and architectures, mentor engineers, and ensure adherence to business requirements and engineering best practices.

The summary above was generated by AI

The purpose of this role is to create solution architectures for systems and platforms ensuring all relevant options are explored for time, cost and compliance to the company’s standards, policies and practices whilst meeting the business’ requirements. The role will oversee the work of other architects and delivery of the solution for clients both internal and external, shepherding it through the relevant governance.

Job Description:

Data Engineering on Dentsu’s Data and Technology Team, you will play a pivotal role in shaping and scaling our data infrastructure and products to support business-critical applications and insights. This role goes beyond technical execution—you will lead by example, mentor junior engineers, and collaborate across departments to deliver high-impact solutions. You’ll design systems with long-term scalability in mind, proactively identify and resolve operational issues, and ensure our data platforms are secure, reliable, and aligned with business goals.

You will work closely with Product and Engineering stakeholders to translate complex business needs into robust technical solutions. Your ability to communicate clearly, coordinate across teams, and drive agile delivery will be essential to your success. As a thought leader, you’ll contribute to the evolution of engineering best practices, evaluate and incorporate state-of-the-art tooling in our products, promote a culture of continuous learning, and help shape the future of our data capabilities.

Required Qualifications:

• 10+ years of experience in data platform development; demonstrating successful design, build, rollout and ongoing delivery of business-critical applications and data pipelines

• 5+ years of experience with Python

• 5+ years of experience with Snowflake (external/Iceberg Tables, materialized views, data shares and listings, integrations; data clean rooms a plus)

• 5+ years of experience with AWS cloud service management tools (IAM CloudWatch, Secrets Manager, AWS CLI)

• Expertise with modern data storage querying tools such as Lambda, S3, RabbitMQ, Athena, Spark, Hive, or similar

• Expertise with processing/orchestration tools such as Apache Airflow, Azure Data Factory, Azure Synapse, or SSIS

• Non-trivial experience with RDBMSs such as Postgres, Microsoft SQL Server, MySQL or Oracle

• Deep understanding of pragmatic engineering practices like iterative releases, test-driven development, continuous integration, and the use of version control systems (Git/GitHub is our primary system, but experience with others would be helpful too).

• Able to convey technical details using industry standard diagramming formats such as UML or C4 Architecture Diagrams and tools such as Lucid Chart, draw.io, or Visio

• Experience working with semi-structured data in JSON format.

• Working knowledge of Unix-like systems

• BS/MS degree in Computer Science/Engineering or equivalent

Desired Qualifications

• Experience with languages like JavaScript, GO or C# is a plus

• Experience with containerized environments using Docker or Kubernetes

• Experience with infrastructure as code tools like Terraform or CloudFormation. • Experience with serialization and storage formats (e.g., Avro, Parquet, or ORC) • Experience in digital marketing/ad-ops or advertising space a plus

• Experience delivering large-scale systems in a 24x7, high availability production environment.

• Experience working in an Agile/Scrum environment.

• Experience working with REST APIs. • Experience with Python Web Frameworks (Django, Flask).

Location:

DGS India - Mumbai - Thane Ashar IT Park

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Top Skills

Apache Airflow

Athena

AWS

Azure Data Factory

Azure Synapse

CloudFormation

Docker

Git

Hive

JSON

Kubernetes

Python

RabbitMQ

Snowflake

Spark

SQL

Terraform

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