for Senior Big Data Architect at Niveus:

Niveus is seeking a highly skilled and experienced Senior Big Data Architect to join our dynamic team. In this role, you will be responsible for designing and implementing scalable big data solutions that meet our clients' business needs. You will work closely with data engineers, data scientists, and other stakeholders to create robust data architectures that support advanced analytics and data-driven decision-making.

Key responsibilities:

- Design and develop large-scale, end-to-end data platform architectures: covering ingestion, storage, processing, and analytics/consumption layers.
- Architect and implement Data Warehouse, Data Lakehouse, and Data Lake solutions following Medallion architecture best practices.
- Collaborate with cross-functional teams to gather requirements and translate them into scalable, secure data solutions.
- Evaluate and implement appropriate big data and cloud-native technologies and tools.
- Design and manage the consumption layer, including data access management, Role-Based Access Control (RBAC), and data marketplace enablement.
- Ensure data quality, integrity, governance, and security across the entire data lifecycle.
- Optimize existing data architectures and workflows for performance and cost-efficiency.
- Proactive in client conversations, technical demos, presentations, and solutioning discussions, representing the technical/architecture point of view.
- Stay updated on industry trends and emerging technologies in big data, cloud, and analytics.

Skills and Tools Required

- Strong architectural understanding of the complete data platform: Data Warehouse, Data Lakehouse, and Data Lake (Medallion architecture) - BigQuery /Trino / Redshift / Databricks




- Extensive experience with big data technologies such as, Spark, and Kafka.
- Proficiency in programming languages such as Python.
- Proven experience designing scalable, secure data pipelines, data warehouses, and data lakes capable of processing petabytes of data.
- Strong knowledge of data modeling, ETL/ELT processes, Medallion architecture, and data warehousing concepts.
- Mandatory hands-on experience with at least one cloud platform - GCP strongly preferred (AWS or Azure also considered).
- Architectural experience designing data platforms end-to-end: ingestion, storage, and analytics/consumption layers.
- Working knowledge of the consumption layer - data access management, RBAC, and data marketplace concepts.
- Familiarity with database technologies including NoSQL, SQL, and data lakes.
- Excellent problem-solving and analytical skills.
- Effective communication and teamwork abilities.
- Value add: Experience in client-facing technical conversations, demos, presentations, and solutioning.
- Relevant certifications in big data or cloud technologies are a plus.

If you are a proactive, innovative thinker with a passion for big data solutions, we encourage you to apply and be a part of our exciting journey at Niveus.

About the Role

As a Senior Big Data Architect at Niveus,



you will play a pivotal role in designing and implementing big data solutions that meet the evolving needs of the business. You will leverage your expertise to optimize data architecture and support advanced analytics initiatives. This position requires collaborating with cross-functional teams to ensure data strategies align with overall business goals.

About the Team

You will be part of a energetic team of data professionals who are passionate about harnessing the power of big data. The team fosters a culture of innovation, collaboration, and continuous learning. Together, you will work on exciting projects that drive insights and enhance decision-making capabilities within the organization.

You are Responsible for

- Designing scalable and efficient big data architectures to support large-scale data processing.
- Leading the development of data ingestion, storage, and processing frameworks.
- Collaborating with data scientists and analysts to ensure data availability and quality for analytical use.
- Implementing best practices for data governance and security across the organization.
- Evaluating and recommending new technologies and tools to enhance data architecture.

To succeed in this role – you should have the following:

- Extensive experience in big data technologies such as Hadoop, Spark, and Kafka.
- Proficiency in data modeling, ETL processes, and data warehousing concepts.
- Strong programming skills in languages such as Java, Python, or Scala.
- Knowledge of cloud platforms and services related to big data (e.g., AWS, Azure, Google Cloud).
- Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.

📌 Senior Big Data Architect (Mangalore)
🏢 Niveus
📍 Mangalore