Contract duration- 1 year

Location- Hyderabad/ onsite

Job Role - Senior Data Architect

RESPONSIBILITIES

- Design and implement scalable data architectures that support the organization's business goals, ensuring data platforms are robust, secure, and aligned with enterprise standards.
- Develop data models, define data standards and guidelines, and establish processes for data integration, migration, and management across the organization.
- Define pipeline architecture for both batch & real time/near real time processing using technologies such as spark, kafka etc. along with setting up of pipeline monitoring standards including logging, alerting etc.
- Create and maintain data dictionaries and metadata frameworks that provide clarity, context, and consistency across the organization's data assets.
- Design and govern a data lake architecture with clear data promotion rules, retention policies & access controls and security measures to protect sensitive data.
- Design and implement scalable and fault tolerant ETL processes across large-scale environments using orchestration frameworks such as Airflow/Dagster etc.
- Collaborate with database administrators, data analysts, and developers to ensure data architecture is integrated and aligned with broader technology systems.




- Stay current with emerging technologies and trends in data management, evaluating their potential impact and applicability to the organization's data ecosystem.

QUALIFICATIONS

- 10+ years of experience in data architecture or data engineering with a robust track record of delivering enterprise-grade solutions.
- Proficiency in SQL and database management systems such as MySQL, PostgreSQL, or Oracle.
- Hands-on experience with ETL tools and familiarity with data lake & warehousing principles.
- Familiarity with cloud platforms such as AWS, Azure, or GCP and their associated data services.
- Strong problem-solving and analytical skills with the ability to handle complex data challenges.
- Excellent communication and collaboration skills to engage effectively across technical and non-technical teams.

PREFERRED QUALIFICATIONS

- Experience with data visualization and reporting tools such as Tableau or Power BI.
- Knowledge of distributed computing, parallel processing, or real-time streaming technologies such as Apache Kafka or Apache Flink.
- Familiarity with containerization and orchestration technologies such as Docker or Kubernetes.
- C rtification in relevant data engineering or database management disciplines.C

📌 Senior Data Architect (Hyderabad)
🏢 Indypay Technologies
📍 Hyderabad