Data Architect

Mattel Global Business Services; Hyderabad; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Health insurance

Job summary

Mattel Global Business Services seeks a senior data architecture leader to design and implement consumer data ecosystems enabling marketing and digital engagement. You will drive identity resolution, unified profiles, and scalable data models in Google Cloud Platform and BigQuery.

You will oversee data integration pipelines, governance, and privacy compliance, working closely with product, analytics, and marketing teams in an Agile setting to deliver iterative architectural direction.

Qualifications

• 7+ years experience in data architecture, data engineering, or consumer data platform implementations.
• Proven experience designing consumer data ecosystems supporting marketing and digital engagement.
• Strong experience with customer data platforms (CDPs), CRM systems, and marketing technology stacks (BlueConic, Klaviyo, Salesforce).
• Deep understanding of first-party data strategies, identity resolution, and unified consumer profile architectures.
• Experience designing data models and architectures within Google Cloud Platform and BigQuery.
• Advanced SQL and large-scale data integration and data pipeline architectures.
• Experience evaluating or implementing Master Data Management (MDM) solutions and data governance frameworks.
• Strong knowledge of data privacy principles and regulatory considerations related to consumer data (GDPR, CCPA, etc.).
• Ability to translate complex business requirements into scalable architecture solutions.
• Strong leadership, collaboration, and communication skills across technical and business teams.
• Experience in Agile environments and leading architectural direction within iterative delivery models.
• Strong problem-solving mindset for scalable solutions in evolving data environments.

Responsibilities

• Lead data architecture initiatives aligning with business Strategy and marketing goals.
• Design and implement consumer data ecosystems to enable digital engagement.
• Guide integration of CDPs, CRM systems and marketing tech stacks.
• Define identity resolution and unified consumer profile architectures.
• Architect data models in Google Cloud Platform and BigQuery.
• Oversee data integration pipelines and data governance practices.
• Evaluate or implement MDM solutions and privacy/compliance controls.
• Communicate architecture decisions to technical and business stakeholders.
• Drive Agile architectural direction in iterative delivery teams.
• Solve complex data problems with scalable, future-proof designs.

Skills

Data architecture

Data engineering

CDPs

CRM systems

Marketing technology

Identity resolution

Unified consumer profiles

Google Cloud Platform

BigQuery

Advanced SQL

Data integration

MDM

Data governance

Data privacy

GDPR

CCPA

Architectural design

Leadership

Stakeholder communication

Agile

Tools

BlueConic

Klaviyo

Salesforce

Job description

Role & responsibilities

• 7+ years of experience in data architecture, data engineering, or consumer data platform implementations.
• Proven experience designing and implementing consumer data ecosystems supporting marketing and digital engagement.
• Strong experience with customer data platforms (CDPs), CRM systems, and marketing technology stacks (e.g., BlueConic, Klaviyo, Salesforce, or similar platforms).
• Deep understanding of first-party data strategies, identity resolution, and unified consumer profile architectures.
• Experience designing and implementing data models and architectures within modern cloud data platforms such as Google Cloud Platform and BigQuery.
• Advanced SQL and strong understanding of large-scale data integration and data pipeline architectures.
• Experience evaluating or implementing Master Data Management (MDM) solutions and data governance frameworks.
• Strong knowledge of data privacy principles and regulatory considerations related to consumer data (GDPR, CCPA, etc.).
• Proven ability to translate complex business requirements into scalable technical architecture solutions.
• Strong leadership, collaboration, and communication skills with the ability to work effectively across technical and business teams.
• Experience working in Agile development environments and leading architectural direction within iterative delivery models.
• Strong problem-solving mindset with the ability to design scalable solutions in complex and evolving data environments.