Data Solution Architect

• 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.

About the Candidate

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.

Soft Skills:

• Strong analytical and problem-solving capabilities.

• Excellent communication and stakeholder management skills.

• Ability to thrive in a fast-paced, dynamic environment.

• Leadership qualities to mentor and guide a team effectively.Role & responsibilities