FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering, data architecture, and data management practices, with a strong focus on developing scalable data platforms and pipelines. Proven ability to lead teams, drive best practices, and ensure data quality and governance in alignment with business objectives.
Highest-signal resume keywords
Data EngineeringData ArchitectureETL ExperienceSQL ProficiencyCloud Data Engineering
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModelingData ManagementData GovernanceData WarehousingData LakesData PipelinesData TransformationProblem-SolvingProduction Issue ResolutionRisk Evaluation
Soft Skills
Interpersonal CommunicationWritten CommunicationLeadershipCollaborationTeam Management
Tools & Technologies
DatabricksSnowflakeRedshiftAirflowCognos
Industry Keywords
GDPRCCPAData QualityData Governance FrameworksBig Data Systems
Tech Stack
Tools & technologiesAirflowAmazon RedshiftCloudCognosETLSnowflakeSQL
About the role
Key responsibilities & impact- Provide strategic vision and technical leadership for the Data Platform and transformation processes
- Collaborate with systems engineering, product, and business leaders to align platform development with business objectives
- Drive adoption of best practices in data engineering and software development
- Lead development and evolution of next-generation storage mechanisms for large data sets, including Data Lakes, Data Warehouses, and Operational Data Stores
- Enable seamless data ingestion, processing, and analysis
- Architect and implement scalable data pipelines optimized for latency, cost, and throughput
- Define and enforce data management practices, including data modeling, ETL, and data warehousing principles
- Liaise with individual data-domain leaders to understand business priorities and drive data-asset efforts from inception through release management
- Lead and manage the Database Administration function, ensuring high availability, scalability, and performance
- Monitor data transformation efforts for accuracy, reliability, and performance
- Provide thought leadership while serving as a hands-on leader of engineers and architects
- Foster a culture of excellence and drive development of data platforms that empower the business and customers
Requirements
What you’ll need- Bachelor's degree required in information science, data management, computer science or related field preferred
- 10+ years' experience in an IT role, specializing in data engineering
- Demonstrated problem-solving ability for effective and timely resolution of system issues, including production outages
- Strong hands-on experience in data modeling and data architecture
- Knowledge of modern approaches to data management
- Experience setting up data quality and data governance frameworks as part of data engineering
- Ability to lead small to medium-sized hybrid teams, including vendors
- Ability to evaluate risks and provide timely recommendations and solutions
- Exceptional interpersonal and written communication skills
- 8+ years of SQL and additional querying on big data systems
- 5+ years of data modeling for defined business requirements
- 7+ years of ETL experience on any technology stack, preferably SQL and IBM
- 2+ years of hands-on experience with cloud data engineering solutions preferred
- Familiarity with Databricks, Snowflake, Redshift, Airflow, Cognos, SQL, and similar data platforms preferred
- Experience with regulatory compliance frameworks such as GDPR and CCPA preferred
Benefits
Comp & perks- Hybrid work arrangement
- Reasonable accommodation for applicants with disabilities