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Technical Lead

dentsu

Technical Lead

Posted Yesterday

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3 Locations

In-Office

Senior level

AdTech • Marketing Tech

The Role

Lead design and implementation of scalable ETL/ELT data platforms on GCP. Develop high-performance SQL models and Python data applications, architect real-time event-driven solutions, ensure governance, security, CI/CD, and mentor engineering teams while collaborating with stakeholders to deliver reliable, cost-efficient data solutions.

Summary Generated by Built In

Job Description:

Job Title

Lead Developer / Engineer

Years of Experience

6 to 10 years

Job Description

We are seeking an experienced GCP Cloud Tech Lead – Data Engineering to lead the design, development, and modernization of scalable, secure, and high-performance data platforms on Google Cloud.

In this role, you will:

Provide technical guidance
Define cloud data architecture
Mentor engineers
Ensure best practices across data engineering, analytics, and AI initiatives

You will work closely with architects and business stakeholders to translate complex requirements into robust cloud-native data solutions.

Must-Have Skills

SQL & Python (Mandatory)

Strong expertise in SQL and Python
Advanced SQL for:
- Data modeling
- Transformations
- Performance tuning
- Analytics in BigQuery
Strong Python proficiency with:
- OOP principles (encapsulation, inheritance, polymorphism, abstraction)
- SOLID principles
- Design patterns

Data Engineering & Pipelines

Proven experience designing and building modular, scalable ETL/ELT pipelines
Strong system design, troubleshooting, and performance tuning skills
Experience working with distributed data systems

GCP Cloud Expertise

Hands-on experience with Google Cloud Platform (GCP) services:
- BigQuery
- Cloud Storage (GCS)
- Cloud Functions
- Cloud Run
- Cloud Composer
- Pub/Sub
Strong understanding of event-driven and real-time architectures using Pub/Sub and Eventarc

Integration & APIs

Experience integrating and consuming REST APIs for data ingestion and platform integration

Data Governance & Security

Solid understanding of:
- Data governance
- Data quality
- Privacy
- Security best practices in cloud environments

DevOps & CI/CD

Experience building and automating CI/CD pipelines
Familiarity with Cloud Build (preferred)

Collaboration & Communication

Excellent verbal and written communication skills
Ability to explain complex technical concepts to non-technical stakeholders
Strong collaboration with product, engineering, QA, DevOps, and compliance teams

Good-to-Have Skills

Experience with Dataform for SQL-based transformations
Exposure to Dataflow (Apache Beam) for large-scale batch and streaming processing
Knowledge of cloud cost optimization and performance tuning on GCP
Experience with API testing tools (e.g., Postman)
Understanding of:
- Clean architecture
- Microservices
- Domain-driven design
Experience building reusable frameworks, libraries, or accelerators
Exposure to AI/ML pipeline orchestration

Key Responsibilities

Architecture & Development

Lead design and implementation of scalable ETL/ELT pipelines on GCP
Develop high-performance SQL models and Python-based data applications
Architect and maintain cloud-native solutions using:
- BigQuery, GCS, Cloud Functions, Cloud Run
- Cloud Composer, Pub/Sub, Eventarc, Dataform

Real-Time & Integration

Define and implement event-driven, real-time data architectures
Lead integration with external APIs and enterprise systems

Governance & Best Practices

Establish standards for:
- Data quality
- Governance
- Lineage
- Security
- Compliance

DevOps & Performance

Build and maintain CI/CD pipelines (Cloud Build)
Ensure:
- Performance
- Scalability
- Reliability
- Cost efficiency

Leadership & Collaboration

Provide technical leadership and mentorship
Partner with cross-functional teams to deliver scalable solutions
Maintain high-quality:
- Technical documentation
- Architecture diagrams
- Engineering standards

Education Qualification

Bachelor’s or Master’s degree in:
- Computer Science
- Information Systems
- Data Engineering
- Or a related field

Certifications

GCP Professional Data Engineer Certification (preferred)
Snowflake Associate / Core certification
Additional certifications (any one preferred):
- Databricks
- Snowflake
- Other cloud data platform certifications

Shift Timing

12:00 PM – 9:00 PM IST
OR 2:00 PM – 11:00 PM IST

Location:

DGS India - Bengaluru - Manyata N1 Block

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Skills Required

Strong expertise in SQL
Strong expertise in Python (OOP, SOLID, design patterns)
Advanced SQL for data modeling, transformations, performance tuning, analytics in BigQuery
Designing and building modular, scalable ETL/ELT pipelines
System design, troubleshooting, and performance tuning for data systems
Experience with distributed data systems
Hands-on experience with GCP services: BigQuery, Cloud Storage (GCS), Cloud Functions, Cloud Run, Cloud Composer, Pub/Sub
Understanding of event-driven and real-time architectures using Pub/Sub and Eventarc
Experience integrating and consuming REST APIs for data ingestion
Knowledge of data governance, data quality, privacy, and cloud security best practices
Experience building and automating CI/CD pipelines
Familiarity with Cloud Build
Excellent verbal and written communication skills and stakeholder collaboration
Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering or related field
GCP Professional Data Engineer certification
Snowflake Associate/Core certification
Certifications such as Databricks, Snowflake, or other cloud data platform certifications

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.

Learn more about dentsu's Compensation & Benefits →

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