Lead II - Data Engineering

About The Job:

• Lead stakeholder engagement across business and technical teams to gather requirements, translate business needs into analytics solutions, and ensure alignment with strategic objectives.
• Review, validate, and provide guidance on data and analytics architecture diagrams, ensuring scalability, security, and alignment with enterprise standards.
• Design and implement scalable Business Intelligence (BI) and analytics solutions, including data models, semantic layers for AI readiness, and reporting frameworks.
• Act as a tr***ed advisor to business leaders, enabling data-driven decision-making through actionable insights and modern analytics solutions.
• Troubleshoot and debug complex data, reporting, and infrastructure issues, including performance bottlenecks, data inconsistencies, and integration failures.
• Collaborate with data engineers, BI developers, and data scientists to deliver end-to-end analytics solutions, including dashboards, predictive models, and operational insights.
• Define and enforce best practices for data governance, data quality, and BI development standards.
• Support development and evolution of enterprise data architecture, including cloud-based analytics platforms and data warehouse solutions.
• Drive continuous improvement in analytics delivery by identifying optimization opportunities in data pipelines, reporting performance, and system scalability.
• Mentor junior team members and provide technical leadership across analytics initiatives.
• Assist with documentation including architecture diagrams, design documents, and operational runbooks.
• Provide off-hours support as needed for critical production issues.
• Reporting to IT / Data & Analytics leadership and aligning with regional and global teams.

Qualifications:

• Bachelor’s Degree in Computer Science, Information Technology, Data Analytics, or related field; or equivalent experience.
• Minimum 10+ years of experience in Business Intelligence, data analytics, or data architecture roles.
• Proven experience in stakeholder management and translating business requirements into technical solutions.
• Strong experience reviewing and designing data architecture, including data warehouses, ETL pipelines, and BI platforms.
• Expertise in SQL and strong understanding of data modeling, data warehousing concepts, and ETL processes.
• Experience with BI tools such as Power BI, Tableau, or Business Objects.
• Experience with cloud-based data platforms (e.g., AWS, Azure, or GCP).
• Strong troubleshooting and debugging skills across data pipelines, BI reports, and infrastructure.

• Data architecture design and review
• BI solution development and performance optimization
• Data governance, data quality, and semantic modeling
• Enterprise analytics platforms and reporting tools

• AI-enabled analytics and modern insight delivery (e.g., conversational analytics, automated insights)
• API integrations and data services
• Agile delivery methodologies
• Strong communication skills with the ability to engage both technical and non-technical stakeholders.
• Leadership: Ability to lead initiatives, mentor teams, and influence cross-functional stakeholders. Experience working in Commercial or Supply Chain Function
• Problem-Solving Skills: Strong analytical mindset with ability to diagnose and resolve complex technical issues.
• Documentation skills using tools such as Visio, PowerPoint, SharePoint, and Excel.

How to Apply: Interested candidates are encouraged to respond to this job posting or submit their updated resumes.
For additional job opportunities, please visit Jobs In India - VARITE.

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Experience Level Bonus Referral:
0–2 years INR 5,000
2–6 years INR 7,500
6+ years INR 10,000

About VARITE:
VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 Companies in USA, UK, CANADA and INDIA.
VARITE is currently a primary and direct vendor to leading corporations in multiple industry verticals.

Equal Opportunity Employer:
VARITE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, or disability status.