Provide strategic direction and technical oversight for a significant greenfield initiative focused on rebuilding and modernizing our data warehouse infrastructure.
Possessing deep knowledge of data engineering principles, tools, and technologies.
Providing direction and guidance on data architecture, solution design, and implementation strategies.
Designing and implementing data pipelines, data warehouse, and data lake using modern technology components like Spark, Iceberg, Delta Lake, Scala, Python etc.
Implementing and enforcing data governance policies, including data security controls and privacy regulations.
Define and maintain end to end data flows, Data Lineage, Data Catalog for various data marts
Be a liaison between solution architects, BSA’s and data engineers to ensure compliance to standards of Data integrations, data management and review the data solutions
Maintain inventory and roadmap of data assets across the Data Platform
Ensure best practices for data democratization architecture & data virtualization
Offer insight, guidance, prototype, and direction on the usage of latest trends and technical capabilities for Enterprise Data Management
Stay updated with the latest industry trends and best practices, sharing knowledge and encourage team to continuously improve their skill’s
Requirements
Bachelor’s degree or higher in Computer Science or Engineering or related field
Minimum 15+ years of experience working with Data Management including Data Integration/ETL (Informatica, Talend, Fivetran etc.), Data Warehouse/Lakes (Oracle, Snowflake, Databricks, Google Big Query, Redshift), Master Data Management, Data Quality, Data Modeling, Data Analytics/BI, Data Enrichment, Security and Governance.
Minimum of 7+ years of experience focused specifically on Delivery or Solution Architecture of large complex data management programs
Strong data modeling expertise in supporting both classic and modern data Lakehouse architectures.
Strong understanding and experience building ELT/ETL solutions
Experience on various data Quality tools like Informatica Data Quality, Atlan, Collibra, etc.
Demonstrable experience working with data structures coming from variety of ERP, CRM and other data sources
Experience working with at least one major cloud data platforms like AWS, Azure, Google, etc.
Experience working with at least one modern Lakehouse platforms like Databricks, Snowflake, etc.
Experience working with Tableau, Power BI, or other Data visualization tools.
Knowledge of advanced analytics GenAI platforms is a plus.
Develop Entity Relationship Diagrams using and data modeling tools.
Guide technical team to tunes complex solutions, monitor system performance, and provide recommendations and means for improvement
Prototype new technologies and implement innovative solutions to enable teams to consume and understand data faster
Responsible for metadata management of data domain, inclusive of data definitions, data catalog, data lineage and documentation of data flow for critical processes, Sox compliance
Partner with Data Governance analyst and Business Data Stewards
Maintain in-depth understanding of business functions, processes, and relationships as it relates to data
Benefits
Health insurance
401(k) matching
Flexible work hours
Paid time off
Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata architecturedata pipelinesdata warehousedata lakeSparkIcebergDelta LakeScalaPython