Concentrix
Website:
concentrix.com
Job details:
We’re Concentrix. The global technology and services leader that powers the world’s best brands, today and into the future. We’re solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we’re the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.
DEPARTMENT DESCRIPTION: Application Development
Our game-changers around the world have devoted their careers to ensuring every relationship is exceptional. And we’re proud to be recognized with awards such as "World's Best Workplaces," “Best Companies for Career Growth,” and “Best Company Culture,” year after year.
Join us and be part of this journey towards greater opportunities and brighter futures.
Location & Work Details
- Location:PAN India (Bangalore/Hyderabad preferred)
- Work Mode: Work from Office / Hybrid / Remote based on the business need
Job Title: Data Cloud Architect
Job Description: The Data cloud team is seeking a highly skilled architect with expertise in Snowflake, Azure, and Databricks to join our dynamic team. As a key member of our global Data Engineering department, you will be responsible for designing, implementing, and managing our global cloud-based data architecture. This role requires a deep understanding of modern data management practices, infrastructure services, role-based security models, and a proven track record in architecting scalable, efficient data solutions.
Responsibilities:
- Design end-to-end data architecture solutions on cloud platforms such as Snowflake, leveraging services like Azure Data Factory, Databricks for data integration.
- Implement best practices for data ingestion, storage, processing, and consumption in a cloud environment, ensuring scalability, reliability, and performance.
- Optimize data pipelines for efficiency and cost-effectiveness, utilizing cloud-native tools and services.
- Ensure data integrity, security, and privacy in compliance with organizational policies, industry standards and regulations.
- Collaborate with cross-functional teams to ensure solution designs meet business needs as well as in alignment with the set architecture and guiding principles.
- Create and maintain comprehensive documentation of data architecture, solution designs and system configuration.
- Knowledge of Snowpark, Snowflake Notebooks, Snowpark Container Services, Cortex ML, Cortex AI, and AI functions.
- Experience with Snowflake security, RBAC, row access policies, masking policies, network policies, and resource monitors.
- Experience optimizing Snowflake performance, storage, query execution, concurrency, and credit consumption.
- Knowledge of Snowflake data engineering, application integration, governance, and disaster recovery patterns
- Experience with Databricks SQL, notebooks, jobs, model serving, feature engineering, and MLflow.
- Experience with Databricks Mosaic AI, vector search, foundation models, RAG, AI agents, and model evaluation.
- Experience optimizing Spark workloads, cluster configuration, partitioning, caching, and compute costs.
- Work with application developers and system administrators to ensure compatibility between cloud and on-prem components and resolve any integration challenges
- Leverage Infrastructure as code to adhere to security and compliance standards, and manage cloud resources
- Establish and maintain monitoring frameworks and processes to proactively identify and address performance and cost related concerns, and service availability
- Escalate architecture and design deviations to the Senior Architect for prompt review and addressing.
- Provide technical leadership and mentorship to junior team members, promoting a culture of innovation and continuous learning.
- Evaluate new technologies and tools to drive innovation and improve data architecture capabilities.
Knowledge, Skills and Experience:
- Bachelor’s degree in computer science, engineering, or related field
- 7+ years as a Data Architect or similar role, with a focus on cloud-based data solutions.
- 7+ years of expertise in data warehouse architecture, including data modeling, optimization, ETL/ELT, and administration.
- In-depth knowledge of cloud architecture patterns and solution design principles
- Expert in working with large databases, BI applications, data quality, and performance tuning
- Expert in Azure devops setup, CI/CD pipelines configuration and automated scripts
- Hands-on experience with Azure cloud services (Azure Data Lake, Azure SQL Data Warehouse, etc.) and Databricks for data processing and analytics.
- Strong understanding of Snowflake and Azure Infrastructure services, as well as platform limitations and capabilities
- Good knowledge of Snowflake warehouse security and RBAC models
- Good knowledge and experience with Snowflake database administration and monitoring
- Strong background in relational database concepts with a solid knowledge of star schema, Oracle, SQL, PL/SQL, SQL Tuning, OLAP, Big Data technologies (HANA, Snowflake, or any modern database).
- Experience in designing and implementing scalable, reliable, and high-performance data solutions in a cloud environment.
- Experience with hands-on implementation of Microsoft Azure cloud solutions, including but not limited to the following tools is a plus
- Data Factory
- Data Bricks / Spark
- Azure SQL
- Snowflake
- Logic Apps / Flow / Power Automate
- Experience in configuring & monitoring different attributes and handling scale up and scale down scenarios for the application in Azure
- Solid understanding of the Microsoft stack and the toolsets (Fabric, Synapse, Cognitive Services is a plus)
- Strong knowledge of cloud networking and security principles
- Have good understanding of implementation of advanced security, authentication, and single sign on across cloud and on premise
- Familiarity with data security, encryption methods, and compliance standards (GDPR, CCPA, etc.).
- Proficiency with Infrastructure as code (Azure Resource Management, Terraform, etc) to automate infrastructure management is a plus
- Excellent communication skills with the ability to collaborate effectively across teams and articulate complex technical concepts to non-technical stakeholders.
- Architect certifications in Snowflake, Azure, or Databricks are a plus.
Notes based on client expectations:
- Position is for a hands-on Environment Support architect compared to strategy architect
- Existing Data environment is in Snowflake and data transformation, and ML Processing happens on Databricks.
- Good experience in RBAC implementations on Snowflake
- Ability to work with source application team, security, infrastructure teams to set up new data pipelines by configuring/troubleshooting connections, ensuring data models, data pipelines follow standards and best practices,
- Experience with data federations setup in data bricks, databricks functionalities of Compute, Jobs, AI/ML Ops functionalities
- Experience with SQL, PySpark coding. Role is not expected to do hands-on code development but has to review SQL, PySpark code created by the developers for standards and best practices.
- Knowledge on Agentic AI architecture and features in snowflake and databricks
- Expected to experiment and perform PoC with new features like data bricks agent bricks, Snowflake Cortex Agents
- Strong Communication skills and ability to work in a matrixed environment with multiple client stakeholders
Click on Apply to know more.
