Job Description

Role: Data Solutions Architect Location: Thane, India Work Style: Work from Office Start Date: ASAP About the Role We are seeking a hands-on Data Solutions Architect to lead the design and development of a robust data infrastructure for our BPO operations. This role will involve analyzing operational data from multiple sources, designing efficient data pipelines, and creating an adaptable data warehouse or data lake to streamline KPI and dashboard generation. The role demands expertise in data engineering, analytics, and AI technologies to derive actionable insights and support predictive modeling. The ideal candidate will lead the initiative with one or two data engineers while keeping flexibility for client-specific data nuances. Key Responsibilities Collaborate with Workforce Management and Operational teams to analyze data formats and structures from in-house Workforce Management systems or client CRM/WFM systems Design and implement a scalable data warehouse or data lake with appropriate data pipelines. Ensure automated processing of operational data for generating standardized and customizable KPI matrices and dashboards. Lead the creation of systems that allow flexibility for client-specific rules and calculations. Integrate AI/ML solutions for predictive analytics and business insights. Establish data governance and ensure compliance with security and regulatory standards. Monitor data quality and optimize performance across the data ecosystem. Act as a technical leader, mentoring and managing a small team of data engineers. Provide regular updates to stakeholders and collaborate on defining long-term data strategies. Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 8+ years of IT experience with at least 5 years in data engineering or architecture roles. Hands-on experience with data pipeline tools and cloud platforms (e.g., Azure Data Factory, Azure Databricks, AWS Glue). Proficient in SQL, Python, and ETL processes. Experience in designing data warehouses, data lakes, and creating dashboards using BI tools like Power BI or Tableau. Familiarity with AI/ML technologies for analytics and predictive modeling. Strong understanding of data lifecycle management and compliance requirements. Mandatory Skills: Expertise in managing multi-source data integrations. Knowledge of industry-standard KPI frameworks and dashboarding techniques. Ability to handle client-specific customization requirements. Preferred Skills: Experience in BPO or IT Outsourcing environments. Knowledge of workforce management tools and CRM integrations. Hands-on experience with AI technologies and their applications in data analytics. Familiarity with Agile/Scrum methodologies.