Associate Technical Architect

Reposted 2 Days Ago
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Ramakka Block, Jaya Mahal, Bangalore, Karnataka
In-Office
Expert/Leader
AdTech • Marketing Tech
The Role
Lead the design and delivery of Snowflake data platforms for analytics, ensuring data governance and ingestion pipeline optimization while leveraging AWS services and Terraform.
Summary Generated by Built In

Job Description:

                                                          ANZ Media Reporting

Role Overview

As a Snowflake Principal Data Engineer, you will lead the design and delivery of enterprise-grade data platforms that enable advanced analytics and marketing performance insights. This role demands deep technical expertise in Snowflake architecture, cloud infrastructure automation, and data engineering best practices.

Key Responsibilities

  • Architect and implement Snowflake solutions, including schema design, role-based access control, security policies, and workload optimization for large-scale, high-performance environments.
  • Define and enforce data governance frameworks, ensuring compliance, lineage, and data quality across all assets.
  • Design and oversee Data Vault 2.0 implementations for scalable, auditable, and flexible data warehousing.
  • Build and optimize data ingestion pipelines integrating APIs from adtech/martech platforms (e.g., DV360, The Trade Desk, SA360) into Snowflake.
  • Leverage AWS services (S3, Glue, Lambda, IAM) for cloud-native data processing and storage.
  • Use Terraform to automate infrastructure provisioning and manage AWS resources following Infrastructure-as-Code principles.
  • Collaborate with business and technical stakeholders to translate requirements into robust, secure, and cost-efficient data architectures.
  • Establish performance tuning strategies for Snowflake, including query optimization, clustering, and resource monitoring.
  • Drive adoption of engineering best practices, CI/CD workflows, and automation across data teams.
  • Act as the technical authority on Snowflake architecture, security, and integration patterns.

Required Skills & Experience

  • 10+ years in data engineering or architecture, with 3+ years focused on Snowflake solution design.
  • Expert-level knowledge of Snowflake architecture, including schema design, role-based security, workload management, and automation.
  • Proven experience implementing Data Vault 2.0 methodologies.
  • Strong proficiency in SQL and Python for data modeling and automation.
  • Hands-on experience with AWS services (S3, Glue, Lambda, IAM) and cloud-native data solutions.
  • Advanced skills in Terraform for infrastructure automation and resource orchestration.
  • Familiarity with data orchestration tools (e.g., Airflow) and CI/CD pipelines.

Location:

DGS India - Bengaluru - Manyata N1 Block

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Top Skills

Airflow
AWS
Data Vault 2.0
Python
Snowflake
SQL
Terraform
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The Company
15,492 Employees

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

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