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Role Overview

We are seeking a Senior Cloud and Data Architect with deep expertise in cloud platforms, data engineering, and solution design. This role demands strong technical leadership, hands-on experience with at least two hyperscalers (Azure, AWS, GCP), and the ability to drive architecture and delivery across enterprise data platforms. You will play a pivotal role in designing and implementing scalable, resilient, and high-performance data solutions for our clients.

Key Responsibilities

• Lead end-to-end design and implementation of cloud-based data architectures and solutions.
• Provide technical leadership and act as the single point of contact (SPOC) for all solution-related discussions.
• Work directly with stakeholders, contribute to RfPs, solutioning, and client presentations.
• Deliver hands-on architecture for data lakes, warehouses, and real-time processing platforms using modern cloud services.
• Design and build ETL pipelines, perform data modeling, and define monitoring and deployment strategies.
• Implement resilient, fault-tolerant, and secure cloud architectures.
• Oversee data migrations from legacy systems and ensure compliance with internal and external standards.
• Collaborate with cross-functional teams to define best practices in DevOps, CI/CD, and Infrastructure as Code.
• Train and mentor junior architects and technical team members.
• Author white papers and point-of-view (POV) documents on emerging data technologies.

Mandatory Skills & Experience

• 16–18+ years of overall experience in DWBI, Big Data, and Cloud technologies.
• Proven hands-on experience with at least 2 hyperscaler platforms: Azure, AWS, GCP.
• Expertise in Big Data services like Apache Spark, Apache Beam, and equivalent.
• In-depth knowledge of tools and services such as:
• BigQuery, Redshift, Synapse
• Pub/Sub, Kinesis, MQ, Event Hubs
• Strong ETL, data modeling, and SQL development experience.
• Excellent communication, consulting, and documentation skills.
• Ability to define monitoring, alerting, deployment strategies, and deliver resilient architectures.
• Strong stakeholder engagement and client-facing skills.
• Experience designing Databricks-based solutions on Azure or AWS.
• Working knowledge of DevOps tools such as Jenkins, Terraform, StackDriver.
• Familiarity with NoSQL, unstructured data, predictive analytics, and data visualization tools.

Candidate Requirements

• Strong knowledge of database systems, data mining, and reporting technologies.
• Proficiency in both relational and non-relational databases.
• Experience across the systems development lifecycle and agile methodologies.
• Minimum of 5 years in a similar architect-level role.
• Excellent problem-solving and analytical skills.
• Strong leadership and mentoring abilities.

Join a forward-thinking team where you will architect cloud-first data solutions, lead technical delivery, and shape the data future of global enterprises.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Staffing and Recruiting and IT Services and IT Consulting

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