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Job Description & How to Apply Below
Location:
India, Remote
Experience:
8 Years
Algoworks
About the company
Algoworks is an award-winning artificial intelligence, engineering services and experience transformation firm with offices across the United States, Europe, South America and India. We bring together a global team of engineers, architects, designers, researchers and operators united by rigor, accountability and a commitment to delivering measurable results.
For over 20 years, Algoworks has partnered with Fortune 500 organizations across the Americas, Europe and Asia to define, build and run technology that drives meaningful business outcomes. Our work combines human-centered design, engineering excellence and AI-powered capabilities to solve complex challenges with clarity and precision. Innovation, particularly in the responsible application of AI, is embedded in how teams approach problem-solving and continuous improvement.
At Algoworks, growth is continuous and closely tied to impact. Teams collaborate across geographies and disciplines, strengthening outcomes through shared insight and collective expertise. The culture values transparency, open dialogue and an environment where every voice is heard and contribution is recognized.
Through collaboration, accountability and a focus on results, Algoworks operates at the intersection of technology and people, building not only advanced systems but strong global teams that elevate performance and create lasting impact.
Follow the video below to know about us! Clipchamp
Role overview
We are seeking an experienced Lead Data Platform Engineer to lead the support, stabilization and enhancement of our enterprise data platform. This role will be responsible for troubleshooting complex ETL and Data Warehouse issues, improving data quality and reporting reliability, mentoring data engineers and serving as the primary technical contact for data-related client discussions.
The ideal candidate will possess deep expertise in ETL pipelines, SQL, data warehousing, reporting systems and root-cause analysis, while also demonstrating strong leadership and stakeholder communication skills.
Key responsibilities:
1.Data platform leadership
Lead a team of data engineers supporting enterprise data integration and reporting platforms.
Establish best practices for ETL development, monitoring, testing, deployment and support.
Drive continuous improvements in data quality, platform reliability and operational efficiency.
Provide technical leadership for data architecture, ingestion frameworks and reporting solutions.
2.ETL and data warehouse support
Investigate and resolve complex ETL failures, data load issues and reporting discrepancies.
Troubleshoot data flow issues across source systems, staging layers data warehouse and reporting environments.
Perform root-cause analysis of data quality, completeness and reconciliation issues.
Analyze source-to-target mappings and validate data transformations.
Optimize ETL processes for performance, scalability and maintainability.
Support data warehouse operations, including dimensional models, fact tables and reporting datasets.
3.Reporting and data validation
Support reporting platforms and troubleshoot data discrepancies impacting business users.
Validate reporting accuracy and consistency across dashboards and operational reports.
Investigate missing, delayed, duplicated, or incorrect data in reports and downstream systems.
Partner with business stakeholders to understand reporting requirements and data issues.
Define and implement data quality controls and validation frameworks.
4.Monitoring and observability
Implement and maintain monitoring for ETL pipelines, data freshness and reporting readiness.
Develop dashboards for:
Pipeline execution status
Data completeness
Data quality validation
Data freshness monitoring
Failed loads and exception tracking
Establish alerting and operational support procedures for critical data failures.
5.Client and stakeholder communication
Serve as a technical point of contact for data platform and reporting discussions.
Communicate findings, risks, root causes and remediation plans to clients and stakeholders.
Lead technical review sessions and incident investigations.
Provide regular updates on platform health, data quality metrics and support activities.
Required skills and qualification:
Bachelor's degree in computer science, Information Technology, Business Administration, or a related field.
10+ years of experience in Data Engineering, ETL, or Data Warehouse…
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