Data Architect (Senior Manager/ Manager)

Designation: SENIOR MANAGER
Location: India UTTAR PRADESH Noida
Group: DS Group
Entity: Dharampal Satyapal Limited
SBU: CORPORATE
Department: INFORMATION TECHNOLOGY
Function: DATA ANALYTICS

Role Summary

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.

Skills: