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Data - Technical Architect

Data - Technical Architect

Iris Solutions

10 - 15 years

15 - 20 Lacs

noida

Posted:1 day ago| Platform:

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Skills Required

architect jms performance tuning automation data modeling soc open source middleware analytics python

Work Mode

Work from Office

Job Type

Full Time

Job Description

The
Lead Data Architect
is a strategic and technical leadership role responsible for architecting, scaling, and evolving enterprise-grade data platforms that enable advanced analytics, AI/ML, and data-driven decision-making. Reporting to the
Senior Director of Data Platforms
, this role will lead the design and governance of modern data architectures, drive innovation in AI orchestration, and ensure the delivery of secure, compliant, and high-performing data solutions.
This position combines hands-on engineering expertise with architectural vision and cross-functional leadership. The Lead Data Architect will guide engineering teams, influence platform strategy, and establish best practices across the organization s data ecosystem.

Key Responsibilities

Architect Scalable Data Platforms
: Design and oversee implementation of robust data lakehouse, data mesh, and real-time streaming architectures to support enterprise analytics and AI/ML initiatives.
Lead Engineering Teams
: Provide technical leadership and mentorship to data engineers, fostering a culture of excellence, innovation, and continuous improvement.
AI/ML Enablement
: Collaborate with Data Science and ML Engineering teams to operationalize models, implement AI orchestration frameworks (e. g. , MLflow, Airflow), and ensure scalable deployment pipelines.
Platform Strategy Governance
: Define and enforce architectural standards, data governance policies, and compliance frameworks (HIPAA, SOC 2, GDPR, etc ) across the data platform.
Performance Reliability Optimization
: Drive observability, automation, and performance tuning across data pipelines and infrastructure to ensure reliability at scale.
Cross-Functional Collaboration
: Partner with product, analytics, compliance, and infrastructure teams to align data architecture with business goals and regulatory requirements.
Innovation Thought Leadership
: Stay ahead of industry trends, evaluate emerging technologies, and contribute to strategic decisions on platform evolution, including generative AI integration and event-driven systems.

Basic Qualifications

bachelors or masters degree in Computer Science, Engineering, Data Science, or related field.
10+ years of experience in data engineering and architecture, with a proven track record of leading large-scale data initiatives.
Deep expertise in Python, Spark, and Databricks (Delta Lake, MLflow).
Strong experience with orchestration tools (Airflow, Prefect, Dagster) and cloud platforms (AWS, Azure, GCP).
Demonstrated success in architecting and deploying AI/ML pipelines in production.
Strong understanding of data governance, privacy, and compliance in regulated industries (healthcare, life sciences).

Preferred Qualifications

Experience with event-driven architectures (Kafka, Kinesis) and real-time data processing.
Advanced knowledge of data modeling, lakehouse/lake/warehouse design, and performance optimization.
Familiarity with generative AI platforms and use cases.
Contributions to open-source projects or thought leadership in data engineering/architecture.
Experience with Agile methodologies, CI/CD, and DevOps practices.
Would you like this formatted into a PDF or Word document for sharing or postingI can also help tailor it further for a specific industry or team structure.

Development Tools and Management - Development Tools and Management - CI/CD

Tech - Agile Methodology

Data Science and Machine Learning - Data Science and Machine Learning - Gen AI

Middleware - Message Oriented Middleware - Messaging (JMS, ActiveMQ, RabitMQ, Kafka, SQS, ASB etc)

Data Science and Machine Learning - Data Science and Machine Learning - AI/ML

Big Data - Big Data - SPARK

DevOps/Configuration Mgmt - Cloud Platforms - AWS

DevOps/Configuration Mgmt - Cloud Platforms - GCP

Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight

Beh - Communication and collaboration

Perks and Benefits for Irisians

Iris provides world-class benefits for a personalized employee experience. These benefits are designed to support financial, health and we'll-being needs of Irisians for a holistic professional and personal growth. Click here to view the benefits.

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Data - Technical Architect

Experience & Salary

Skills Required

Work Mode

Job Type

Job Description

Lead Data Architect

Senior Director of Data Platforms

Key Responsibilities

Architect Scalable Data Platforms

Lead Engineering Teams

AI/ML Enablement

Platform Strategy Governance

Performance Reliability Optimization

Cross-Functional Collaboration

Innovation Thought Leadership

Basic Qualifications

Preferred Qualifications

Perks and Benefits for Irisians

More Jobs at Iris Solutions