Manager – Data Engineer

Wavestone-posted 1 day ago
Full-time • Mid Level
Onsite • New York, NY
5,001-10,000 employees
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As a Data Engineer at a manager level at Wavestone, you will be expected to help address strategic as well as detailed client needs, specifically serving as a trusted advisor to C-level executives and be comfortable supporting and leading hands-on data projects with technical teams. In this role you would be leading or supporting high-impact data transformation, data modernization and data initiatives to accelerate and enable AI solutions, bridging business strategy and technical execution. You will architect and deliver robust, scalable data solutions, while mentoring teams and helping to shape the firm’s data consulting offerings and skills. This role requires a unique blend of strategic vision, technical depth, and consulting leadership.

  • 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.
  • Strategic Data Leadership: Proven ability to set and execute data strategy, governance, and architecture at the enterprise level.
  • Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.).
  • Designing Data Models: Experience creating conceptual, logical, and physical data models that leverage different data modeling concepts and methodologies (normalization/denormalization, dimensional typing, data vault methodology, partitioning/embedding strategies, etc.) to meet solution requirements.
  • Cloud Data Platforms: Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake).
  • Data Governance & Quality: Mastery of data management, MDM, data quality, and regulatory compliance (e.g., IFRS17, GDPR).
  • Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML initiatives in complex environments.
  • Executive Stakeholder Management: Ability to communicate and influence at the C-suite and senior leadership level.
  • Project & Team Leadership: Demonstrated success managing project delivery, budgets, and cross-functional teams in a consulting context.
  • Continuous Learning & Innovation: Commitment to staying ahead of industry trends and fostering innovation within teams.
  • 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).
  • Exceptional problem-solving, analytical, and communication skills.
  • Industry exposure : Deep experience in Insurance, Pharma, or Financial Services
  • Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer, Databricks, Snowflake) are a strong plus.
  • 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)
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