Data Solutions Architect

Job Description

Company Description Quantanite is a customer experience (CX)solutions company that helpsfast-growing companies and leading global brandsto transformand grow. We do thisthrough a collaborative and consultative approach,rethinking business processes and ensuring our clients employ the optimalmix of automationand human intelligence.We are an ambitiousteamof professionals spread acrossfour continents and looking to disrupt ourindustry by delivering seamless customerexperiencesforour clients,backed-upwithexceptionalresults.We havebig dreams, and are constantly looking for new colleaguesto join us who share our values, passion and appreciationfordiversity. Job Description 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. Qualifications 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. Additional Information 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.