Guide our data engineering team and shape the future of our data infrastructure.
Own the design, strategy, and execution of our data architecture, ensuring that our data pipelines are scalable, reliable, and capable of supporting our enterprise's growing analytical needs.
Architect, build, and optimize scalable and reliable data pipelines using tools like Fivetran, Informatica, AWS Glue, and custom Python scripts.
Lead the integration of complex data sources from various enterprise applications, including ERPs (SAP S/4HANA, MS Dynamics, BPCS) and SaaS platforms (Salesforce, Workday, Concur).
Provide technical guidance, mentorship, and code reviews for data engineering team members, promoting best practices in data management and software development.
Partner with data analysts, business intelligence developers, and business stakeholders to understand data requirements and deliver effective solutions.
Establish and maintain data quality standards, monitor production data pipelines, and troubleshoot complex data issues to ensure high availability and performance.

Bachelor’s Degree or higher AND 7+ years of data analytics experience OR High School Diploma/GED from AND 11+ years of Information systems / Analytics application Consulting experience AND 7+ years of strong experience with SQL and ability to write efficient code for high volume data processing
4+ years of strong experience with Snowflake and dbt cloud.
7+ years of hands-on experience with data modeling design and implementation
4+ years with AWS tools (S3, AWS Glue, Airflow, Lambda, Step function etc.), Informatica IICS or Fivetran/HVR
3+ years working directly with subject matter experts in both business and technology domains
2+ years with ERP applications
preferably SAP S4, MS Dynamics, Oracle and or BPCS
2+ years of hands-on experience with Salesforce, Workday, Ariba, Concur or any other Enterprise application
2+ years working with business and technical leaders to design, build and implement analytics solutions across a Business Intelligence Stack (Snowflake, SQL, Power BI/Fabric, AWS)

Data Analytics Lead, Data Engineer

Key skills