We are seeking a Data Analyst-an experienced analytics professional who is passionate about unleashing the power of data to inform decision-making, achieve strategic objectives, and support hiring and retention of world-class talent. As an integral part of the team, the Data Analyst will use analytical skills and business acumen to turn data into knowledge and drive business success.

Requirements and Qualifications:

• Minimum 5+ years of experience in Data Analytics, BI Analytics, or BI Engineering, preferably in a globally recognized organization.
• Expert-level proficiency in writing complex SQL queries to create views in data warehouses like Snowflake, Redshift, SQL Server, Oracle, or BigQuery.
• Advanced skills in designing and developing data models and dashboards using BI tools such as Tableau, Domo, Looker, etc.
• Intermediate-level skills with analytical tools such as Excel, Google Sheets, or Power BI (e.g., complex formulas, lookups, pivot tables).
• Bachelor's or advanced degree in Data Analytics, Data Science, Information Systems, Computer Science, Applied Mathematics, Statistics, or a related field.
• Willingness to collaborate with internal team members and stakeholders across different time zones.

Roles and Responsibilities:

• Perform advanced analytics such as cohort analysis, scenario analysis, time series analysis, and predictive analysis, and create powerful data visualizations.
• Clearly articulate assumptions, data interpretations, and analytical findings in a variety of formats for different audiences.
• Design data models that define the structure and relationship of data elements across various sources based on reporting and analytics needs.
• Collaborate with BI Engineers to build scalable, high-performing reporting and analytics solutions.
• Write SQL queries to extract and manipulate data from warehouses such as Snowflake.
• Conduct data validation and quality assurance checks to ensure high standards of data integrity.
• Investigate and resolve data issues, including root cause analysis when inconsistencies arise in reporting.

Role Summary

Experience: 5-8 Years

We are hiring a Senior Cloud Solutions Subject Matter Expert (SME) to design and deliver enterprise-scale cloud architectures across leading cloud platforms. This is a customer-facing technical role that blends hands-on architecture design, solution consulting, and pre-sales support. The ideal candidate brings deep expertise in at least one major cloud platform-Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform-along with strong experience in infrastructure automation, cloud security, and scalable system design. Exposure to data platforms and AI workloads is highly desirable.

Key Responsibilities

Cloud Architecture & Design

• Design secure, scalable, and cost-optimized cloud architectures for enterprise environments.
• Define infrastructure blueprints covering networking, compute, storage, security, and governance.
• Lead cloud migration strategies (on-premises to cloud or cross-cloud).
• Implement cloud-native services for automation, monitoring, and performance optimization.
• Establish best practices for cloud cost management and governance.

Customer Engagement

• Lead technical discovery sessions with enterprise customers.
• Translate business requirements into architecture solutions.
• Conduct architecture workshops and proof-of-concept (POC) implementations.
• Present solution designs and technical recommendations to stakeholders.
• Provide technical assurance during evaluations and pilot programs.

Pre-Sales & Solution Support

• Collaborate with pre-sales teams to develop technical proposals and cost estimates.
• Contribute architecture diagrams and solution documentation for RFP responses.
• Develop reusable design standards and cloud architecture templates.
• Support demos and modernization presentations.

Delivery Oversight

• Guide delivery teams to ensure alignment with approved architectures.
• Participate in infrastructure and automation design reviews.
• Enforce security, compliance, and performance monitoring standards.
• Drive continuous improvement and scalability initiatives.

Required Skills & Experience

Core Technical Expertise

• Hands-on architecture and operational experience in AWS, Azure, or GCP.
• Strong expertise in Infrastructure as Code tools such as Terraform, AWS CloudFormation, and Azure Bicep.
• Experience with CI/CD automation and cloud provisioning.
• Solid understanding of containerization and orchestration: Docker and Kubernetes.
• Strong knowledge of networking, identity management, and cloud security frameworks.
• Experience integrating cloud environments with data platforms, APIs, and hybrid architectures.

Consulting & Solutioning

• Proven ability to translate customer requirements into scalable cloud solutions.
• Experience creating high-level and low-level design documentation.
• Comfortable presenting architecture solutions to technical and business stakeholders.

Soft Skills

• Strong communication and presentation skills.
• Analytical mindset with excellent troubleshooting capabilities.
• Collaborative approach across sales, architecture, and delivery teams.

Preferred Qualifications

• Experience in consulting, system integration, or managed services environments.
• Exposure to cloud-native AI/ML infrastructure or data lakehouse architectures.
• Relevant cloud certifications such as AWS Certified Solutions Architect - Professional, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect.

Role Overview

Experience: 5-8 Years

We are looking for a Senior Data & AI Solutions SME to lead the design and implementation of scalable data platforms and AI-driven solutions. This is a hands-on architectural role that combines deep technical expertise with customer engagement and delivery oversight. You will work closely with clients to translate business requirements into robust data and AI architectures, validate solutions through workshops and prototypes, and guide delivery teams to ensure successful implementation.

Key Responsibilities

Solution Architecture & Design

• Design end-to-end data and AI architectures across ingestion, storage, transformation, analytics, and model deployment.
• Architect scalable, secure, and cloud-native data platforms.
• Build and operationalize AI/ML pipelines, including training, deployment, monitoring, and MLOps frameworks.
• Evaluate emerging technologies to enhance solution performance and efficiency.

Customer Engagement

• Conduct technical discovery sessions and translate business needs into data-driven solutions.
• Present architecture recommendations, PoCs, and solution roadmaps to stakeholders.
• Collaborate with pre-sales and cloud teams to develop integrated solutions.

Pre-Sales & Solution Support

• Contribute to RFP responses, proposals, estimations, and solution documentation.
• Develop reusable templates and reference architectures.
• Support technical workshops and demonstrations during pursuit cycles.

Delivery Governance

• Guide delivery teams in implementing proposed architectures.
• Participate in design and code reviews to ensure architectural integrity.
• Capture learnings and refine best practices across engagements.

Required Skills & Experience

Core Technical Expertise

• Strong experience in data engineering using tools such as Spark, Databricks, Snowflake, BigQuery, Synapse, or Redshift.
• Experience with data pipeline orchestration tools like Airflow, ADF, or similar frameworks.
• Proficiency in AI/ML development using Python, TensorFlow, PyTorch, or Scikit-learn.
• Experience implementing MLOps pipelines for model deployment and monitoring.
• Hands-on experience with AWS, Azure, or GCP data and AI services.

Solutioning & Consulting

• Proven ability to translate business problems into scalable data and AI solutions.
• Understanding of data governance, data quality, and security best practices.
• Experience developing technical documentation and customer-facing solution artifacts.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and stakeholder management skills.
• Collaborative and delivery-focused mindset.

Preferred Qualifications

• Experience working with global consulting, analytics, or product engineering organizations.
• Exposure to GenAI, LLM-based applications, or AI automation frameworks.
• Relevant cloud or data/AI certifications.