We are looking for an experienced Senior Software Architect with a deep understanding of Cloud Architecture (Azure and AWS) and Data Platforms (Databricks) to join our team. The ideal candidate has 8+ years of experience designing and implementing cloud data platforms in large enterprises, with strong hands-on cloud solutions and architecture experience with big data platforms such as Databricks.

You will lead the feature enablement and provide guidance to development and adoption teams on our scalable, secure, and cost-efficient data lakehouse across Azure (primary) and AWS (secondary). You will partner with engineering, networking/security, and analytics teams to deliver robust data ingestion, transformation, governance, and consumption capabilities (e.g., Power BI/Tableau), including batch and streaming use cases.

Experience with tools such as Databricks, MS Fabric, Azure Data Factory, AWS Glue, Power BI, and Collibra as well as experience with Azure access management and networking is highly desirable. The successful candidate will play a key role in designing and implementing scalable cloud architectures for big data processing and analytics solutions.

Key Responsibilities :

- Lead feature enablement and capability development efforts on Enterprise Data Platform which is based on Databricks lakehouse architecture, including performance and cost optimization.

- Define reference architectures, engineering standards, and best practices for data lakes, lakehouse patterns, and enterprise analytics.

- Partner with networking and security teams to design secure connectivity patterns (e.g., private endpoints/links, VNet/VPC integration, routing, firewalling, segmentation) and meet enterprise security standards.

- Drive architectural governance (design reviews, technology choices, ADRs) and mentor teams to improve delivery quality.

- Provide guidance to solution architects in designing and architecting scalable and robust cloud-based solutions using Azure or AWS platforms, focusing on big data and analytics.

- Provide guidance on implementation best practices for data modeling, metadata management, data lineage, and governance in cloud data environments.

- Collaborate with analytics and reporting teams to integrate solutions with Power BI or similar tools for business insights.

- Ensure solutions meet high standards of performance, scalability, security, and cost efficiency in cloud environments.

- Work closely with cross-functional teams including DevOps, product management, and business stakeholders to align on architecture decisions.

- Stay up to date with trends in cloud, data engineering, analytics, governance, and AI/ML enablement

Qualifications and Skills:

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

- 8+ years of experience in software development or software engineering with a focus on cloud architecture and data solutions.

- Proven experience delivering data platforms within large enterprises (complex stakeholder environment, governance, security/compliance constraints)

- Strong hands-on architecture experience with Databricks (must-have), including Spark and Delta Lake.

- Expertise in cloud platforms: Microsoft Azure and/or AWS, with working knowledge of core services used in data platforms.

- Azure networking knowledge (should-have): experience designing/working with private networking, connectivity, and security patterns in Azure.

- AWS knowledge (should-have): understanding of AWS networking and data services and integration patterns.

- Experience with Data Lakes, ETL/ELT tools, and distributed processing (Spark).

- Experience with reporting/semantic layer tools such as Power BI or Tableau.

- Hands-on experience with integration/orchestration tools like Azure Data Factory, AWS Glue, FiveTran, and/or Kafka.

- Knowledge of modern data governance and data management practices (catalog, lineage, data quality, MDM).

- Strong problem-solving skills and ability