Taglynk · 1 week ago
Senior BI Engineer
United States
Full-time
Remote
Senior Level
5+ years expTaglynk is seeking a Senior BI Engineer who is a detail-oriented problem solver passionate about transforming complex data into actionable insights. The role involves owning the end-to-end data lifecycle, architecting scalable data pipelines, and collaborating with stakeholders to drive data-informed decision-making.
Human Resources
Hiring Manager
Muthu aka Viswanathan
Responsibilities
Own the end-to-end data lifecycle, from ingestion and transformation to delivery, ensuring alignment with business priorities and analytical goals
Architect and oversee scalable, high-performance data pipelines and warehouse structures that serve as the foundation for company-wide analytics and automation
Partner with Engineering and Product teams to establish data design standards, naming conventions, and quality benchmarks, ensuring long-term sustainability and performance
Drive decisions on data architecture, tooling, and storage optimization, balancing scalability, cost, and performance tradeoffs
Lead data modeling efforts that transform complex, cross-domain data into clear and accessible models supporting business-critical dashboards, experimentation, and AI workloads
Implement robust data validation frameworks and monitoring systems to proactively detect and resolve data quality issues
Champion data governance — define standards for access control, lineage, cataloging, and compliance
Collaborate with security and platform teams to institutionalize best practices for data stewardship and democratized analytics
Partner with senior business stakeholders to identify high-impact analytical opportunities and translate business questions into scalable data solutions
Use strong command of SQL, Snowflake, and Python to design complex analytical models and build self-serve dashboards in Tableau or Looker
Develop and deliver insight frameworks that enable data-informed decision-making across Marketing, Product, and Operations teams
Mentor analysts and engineers, fostering an environment of learning and technical excellence
Continuously evaluate and implement emerging data tools and frameworks to enhance speed, accuracy, and reliability of analytics delivery
Lead initiatives to automate reporting workflows and implement CI/CD for data pipelines, ensuring reproducibility and scalability
Partner cross-functionally to identify and eliminate data bottlenecks, optimizing for both velocity and reliability in decision support
Drive a culture of proactive problem-solving through documentation, standardization, and data enablement across teams
Qualification
Required
5+ years of experience in business intelligence, data engineering, analytics, or a related field
Advanced SQL expertise with experience handling complex queries and data transformations
Strong knowledge of engineering and operations best practices, including version control, data quality assurance, testing, and monitoring
Data modeling expertise with experience in ETL, Data Warehousing, and Data Lakes
Data visualization skills using Tableau to create compelling dashboards and reports
Programming proficiency in one or more languages (e.g., Python, Java) for data processing and analysis
Basic knowledge of statistical measures and techniques
Exceptional communication and collaboration skills, with the ability to communicate complex technical information to less technically sophisticated stakeholders and data professionals
Company
Taglynk
We specialise in tailored recruitment solutions that connect top-tier talent with leading companies.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase