Lead Data Engineer
Capital One
Amazon RedshiftAWSAzureCassandraCloudHadoopJavaJavaScriptKafkaLinuxMapReduceMicroservices+11 more
Manager – Data Engineer
Wavestone
full-time
Posted on:
Location Type: Remote
Location: Remote • New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $157,000 - $200,000 per year
Job Level
SeniorLead
Tech Stack
AirflowAWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL
About the role
- Lead complex client engagements in data engineering, analytics, and digital transformation, from strategy through hands-on implementation.
- Advise C-level and senior stakeholders on data strategy, architecture, governance, and technology adoption to drive measurable business value.
- Architect and implement enterprise-scale data platforms, pipelines, and cloud-native solutions (Azure, AWS, Snowflake , Databricks, etc.).
- Oversee and optimize ETL/ELT processes, data integration, and data quality frameworks for large, complex organizations.
- Translate business objectives into actionable technical road maps, balancing innovation, scalability, and operational excellence.
- Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance.
- Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings.
- Stay at the forefront of emerging technologies and industry trends in data engineering, AI/ML, and cloud platforms.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent business experience.
- 8+ years of experience in data engineering, data architecture, or analytics consulting, with at least 2 years in a leadership or management role.
- Demonstrated success in client-facing roles, ideally within a consulting or professional services environment.
- Advanced proficiency in Python, SQL, and modern data engineering tools (e.g., Spark, Databricks, Airflow).
- Experience with cloud data platforms (Azure, AWS, GCP, Snowflake).
- Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus.
- Exceptional problem-solving, analytical, and communication skills.
- Deep experience in Insurance, Pharma, or Financial Services
Benefits
- 25 PTO / 6 Federal Holidays / 4 Floating Holidays
- Great parental leave (birthing parent: 4 months | supporting parent: 2 months)
- Medical / Dental / Vision coverage
- 401K Savings Plan with Company Match
- HSA/FSA
- Up to 4% bonus based on personal and company performance with room to grow as you progress in your career
- Regular Compensation increases based on performance
- Employee Stock Options Plan (ESPP)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata architectureanalytics consultingPythonSQLSparkDatabricksAirflowETLELT
Soft skills
problem-solvinganalyticalcommunicationleadershipmentoringclient-facingbusiness developmentstrategic thinkinginnovationoperational excellence
Certifications
AWS Certified Data AnalyticsAzure Data EngineerDatabricksSnowflake
