Data Architect

Job Description – Data Architect (6–10 years)
Exp- 6-8 years
Location- Location- Noida Sector 67

Role Summary

We are looking for an experienced Data Architect with 6–10 years of expertise in data engineering data management

and architecture. This role will define the strategy design and implementation of enterprise-scale data platforms

ensuring data availability governance security and scalability across the organization. The Data Architect will

collaborate with technology and business stakeholders to align data initiatives with strategic goals.

Key Responsibilities

Define the enterprise data architecture roadmap covering data modeling integration quality and

governance.

Architect and implement data platforms including data warehouses lakes and lakehouses (e.g. Snowflake

BigQuery Redshift and Databricks).

Establish standards for data modeling schema design metadata management and lineage tracking.

Lead the design and development of data integration frameworks covering ETL/ELT pipelines APIs streaming

and real-time data delivery.

Ensure data governance compliance privacy and security frameworks are embedded in all data platforms.

Partner with data engineering analytics and product teams to build scalable data products and pipelines.

Optimize enterprise-wide data storage retrieval and processing to balance performance and cost.

Collaborate with AI/ML and business intelligence teams to enable advanced analytics and AI readiness.

Required Skills & Qualifications

6–10 years of proven experience in data architecture engineering or solution design.

Strong expertise in Data Lake creation (e.g. Databricks Delta Lake Snowflake and Azure Data Lake Storage

etc).

Strong expertise in relational databases (Oracle PostgreSQL MySQL) and NoSQL technologies (MongoDB

Cassandra DynamoDB).

Proficiency in SQL and programming (Python Scala or Java).

Deep understanding of data modeling techniques (dimensional relational document graph).

Experience with big data frameworks (Spark Hadoop Hive) and cloud-native data platforms (AWS Redshift

GCP BigQuery Azure Synapse).

Strong grounding in data governance data quality and metadata management.

Familiarity with data orchestration tools (Airflow Dagster Luigi).

Cloud experience in AWS GCP or Azure for building large-scale distributed systems.

Bachelor’s or Master’s degree in Computer Science Engineering or related field.

Preferred Qualifications

Experience with real-time streaming frameworks (Kafka Flink Kinesis Pub/Sub).

Knowledge of data security frameworks compliance (GDPR HIPAA DPDPA) and role-based access control.

Familiarity with containerization and orchestration (Docker Kubernetes).

Exposure to AI/ML pipelines and data readiness for MLOps.

Contributions to data standards open-source projects or industry best practices.

Soft Skills & Qualities

Strategic thinker with the ability to translate business needs into scalable data solutions.

Strong development and mentoring skills to guide data teams.

Excellent communication and stakeholder management abilities.

Proactive ownership-driven mindset with focus on data quality security and reliability.

Growth mindset; stays ahead of evolving data and cloud technology landscapes.