Job Description

ROLES & RESPONSIBILITIES


We are seeking an experienced and visionary Data Architect with over 15 years of experience to lead the design and implementation of scalable, secure, and high-performing data architectures. The ideal candidate should have a deep understanding of cloud-native architectures, enterprise data platforms, and end-to-end data lifecycle management. You will work closely with business, engineering, and product teams to craft robust data solutions that drive business intelligence, analytics, and AI initiatives.


Key Responsibilities:


Design and implement enterprise-grade data architectures using cloud platforms (e.g., AWS, Azure, GCP).


Lead the definition of data architecture standards, guidelines, and best practices.


Architect scalable data solutions including data lakes, data warehouses, and real-time streaming platforms.


Collaborate with data engineers, analysts, and data scientists to understand data requirements and deliver optimal solutions.


Oversee data modeling activities including conceptual, logical, and physical data models.


Ensure data security, privacy, and compliance with applicable regulations (e.g., GDPR, HIPAA).


Define and implement data governance strategies in collaboration with stakeholders.


Evaluate and recommend data-related tools and technologies.


Provide architectural guidance and mentorship to data engineering teams.


Participate in client discussions, pre-sales, and proposal building (if in a consulting environment).


Required Skills & Qualifications:


15+ years of experience in data architecture, data engineering, or database development.


Strong experience architecting data solutions on at least one major cloud platform (AWS, Azure, or GCP).


Deep understanding of data management principles, data modeling, ETL/ELT pipelines, and data warehousing.


Hands-on experience with modern data platforms and tools (e.g., Snowflake, Databricks, BigQuery, Redshift, Synapse, Apache Spark).


Proficiency with programming languages such as Python, SQL, or Java.


Familiarity with real-time data processing frameworks like Kafka, Kinesis, or Azure Event Hub.


Experience implementing data governance, data cataloging, and data quality frameworks.


Knowledge of DevOps practices, CI/CD pipelines for data, and Infrastructure as Code (IaC) is a plus.


Excellent problem-solving, communication, and stakeholder management skills.


Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.


Cloud Architect or Data Architect certification (AWS/Azure/GCP) is a strong plus.


Preferred Certifications:


AWS Certified Solutions Architect - Professional


Microsoft Certified: Azure Solutions Architect Expert


Google Cloud Professional Data Engineer


TOGAF or equivalent architecture frameworks


What We Offer:


A collaborative and inclusive work environment


Opportunity to work on cutting-edge data and AI projects


Flexible work options


Competitive compensation and benefits package


EXPERIENCE


16-18 Years
SKILLS


Primary Skill: Data Architecture
Sub Skill(s): Data Architecture
Additional Skill(s): Data Architecture
ABOUT THE COMPANY


Infogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).



Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krakow, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.