Job Description 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.
