Data Architect

Dayal InfoSystems , Dayal Group of Company; Meerut; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Dayal InfoSystems seeks a seasoned Data Architect to lead the data ecosystem strategy, architecture, and modernization efforts. You will own data architecture spanning transactional databases, data warehouses, and data lakes, ensuring high availability, security, and scalable performance across product data layers.

You will design patterns for OLTP/OLAP, implement CDC pipelines with Kafka, Debezium, and ensure governance, security, and efficient data access for analytics and reporting.

Qualifications

• 10+ years of progressive experience in database engineering, DBA, and data architecture for enterprise environments.
• Deep expertise in MySQL 8.x including InnoDB, replication, HA/DR, and GTID setups.
• Hands-on experience with streaming/CDC architectures (Kafka, Debezium, Canal) and data lakehouse concepts.

Responsibilities

• Architect, build, and maintain scalable data platforms across relational DBs, NoSQL, data warehouses, and data lakes.
• Lead zero-downtime migration, consolidation, and modernization across hybrid/cloud environments.
• Design patterns like OLTP/OLAP, CQRS, Read/Write separation, Sharding, and event-driven architectures.

Skills

Data architecture

MySQL 8.x

OLTP/OLAP

Kafka / Debezium

Medallion Architecture

Security controls

Linux / scripting

Education

B.Tech or higher in CS/IT

Tools

Terraform

Airflow

Dagster

Job description

Company : Dayal InfoSystems ( Dayal Group of Company)

Job Title: Data Architect

Working Days: Mon-Saturday (Two Saturday Off)

Mode of Working: WFO

Requisite Qualification: B.Tech or higher in CS / IT fields

Required Experience : 10 to 15 years

Job Location : Meerut , Uttar Pradesh

Data Architect

Experience: 10+ Years | Department: Data Engineering |

Data Architect

Role Overview

Dayal Infosystems is seeking a Data Architect to lead the architecture, design, modernization, and lifecycle management of our enterprise data ecosystem. In this role, you will own the overarching data strategy across transactional databases, data warehouses, file systems, and data lakes supporting our core product suite. You will be responsible for bridging the gap between high-throughput OLTP systems and modern analytical data platforms (OLAP/Lakehouse), ensuring ultra-high availability, security, scalability, and performance across all product data layers.

Key Responsibilities

Enterprise Data Architecture & Modernization

• Architect, build, and maintain scalable data platforms, encompassing relational databases, NoSQL stores, object storage, modern data warehouses, and data lakes.
• Design and execute zero-downtime database migration, consolidation, and modernization strategies across hybrid or cloud environments.
• Lead architecture patterns including OLTP vs. OLAP, CQRS, Read/Write Separation, Sharding, Distributed Databases, and Event-Driven Architectures.

Analytical & Lakehouse Ecosystem

• Drive the design of modern analytical architecture (Medallion Architecture: Bronze, Silver, Gold layers) for product analytics and reporting.
• Architect real-time and batch data pipelines utilizing Change Data Capture (CDC), Debezium, and Kafka for seamless integration between operational databases and analytical stores.
• Evaluate and implement modern Data Lakehouse frameworks, storage formats, and query engines.

Database Engineering & Performance Optimization

• Serve as the deep technical expert for core relational databases (with a heavy focus on MySQL 8.x ecosystem and engine internals).
• Design robust High Availability (HA), Disaster Recovery (DR), GTID Replication, and backup/restore strategies to ensure near-zero RPO and RTO.
• Optimize complex SQL queries, index structures, schema designs, transaction models, locking strategies, and execution plans for mission-critical production systems.

Data Governance, Security & Compliance

• Establish and enforce company-wide data standards for security, compliance, data quality, lineage, and metadata management.
• Implement robust access controls including Least-Privilege Access, Row-Level Security (RLS), Column-Level Security, encryption (at-rest/in-transit), data masking, and audit logging.

Strategy, Operations & Mentorship

• Conduct Root Cause Analysis (RCA) on complex, cross-system performance bottlenecks and production incidents.
• Collaborate with Software Engineering, DevOps, Infrastructure, and Product Leadership to align data capabilities with product roadmaps.
• Benchmark and evaluate emergent data technologies based on performance, cost efficiency, reliability, and scale.
• Mentor data engineers, DBAs, and software developers on schema design, query optimization, and architectural best practices.

Qualifications & Skills

Must Have

• 10+ years of progressive experience in Database Engineering, Database Administration, and Data Architecture for enterprise-grade product environments.
• Deep technical expertise in MySQL 8.x (innodb mechanics, performance tuning, replication topologies, HA/DR setups).
• Proven track record in Data Architect roles, designing both transactional (OLTP) and analytical (OLAP/Data Lake/Data Warehouse) systems at scale.
• Hands-on experience with streaming & CDC architectures (e.g., Kafka, Debezium, Canal, or similar tools).
• Strong understanding of Medallion Architecture, distributed data storage, and modern file formats (Parquet, ORC, Avro, Delta/Iceberg).
• Expertise in database security controls (RLS, encryption, masking, auditing) and automated database management.
• Strong proficiency in Linux environments, shell scripting, and automation.

Good to Have

• Hands-on experience with multi-database stacks: PostgreSQL, MongoDB, Redis, Cassandra, Elasticsearch, or ClickHouse.
• Experience with enterprise MySQL environments (MySQL Group Replication, Galera, Percona XtraDB Cluster).
• Deep experience with Cloud Native Database & Analytics platforms (AWS RDS/Aurora, Redshift, Snowflake, Databricks, BigQuery, or Azure Synapse).
• Experience with Infrastructure as Code (IaC) for data infrastructure (Terraform, Ansible) and Data Orchestration tools (Airflow, Dagster).

Proximity to Delhi NCR

• Distance: ~70 km from Delhi, ~40 km from Ghaziabad, 55 km from Noida
• Connectivity: NH 58, Delhi Meerut Expressway ( 45-50 Min), railways ( 50-60 Min), and Metro/Rapid connectivity ( 30-40 Min) from Delhi and Noida.
• Cost Advantage: Lower cost of living than Delhi /Noida, making it attractive for professionals