Data Manager

Company Description

Wavestone is a global consulting firm with over 5,500 professionals across 17 countries, dedicated to helping organizations navigate complex business and technology challenges.

We combine deep industry expertise with a comprehensive portfolio of transformation services—including business strategy, data strategy, cybersecurity, and digital transformation to name a few—to deliver measurable results. Our collaborative approach ensures tailored solutions for each client, with a strong presence in key industries such as Financial Services, Energy, Life Sciences, Healthcare, Insurance, etc.

In North America, Wavestone operates from offices in New York City, Pittsburgh, and Canada, working closely with CEOs and technology leaders to optimize IT strategy, sourcing models, and business processes. We’re committed to building lasting partnerships with our clients and fostering a culture of growth and innovation within our team. From day one, Wavestone consultants are immersed in high-impact projects that accelerate their development as confident leaders and trusted business advisors.

Join us for a rewarding career in management consulting, offering competitive compensation, continuous learning, and many opportunities for professional growth. Shape the future of consulting and make a lasting impact – Apply now to join our team!

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., IFRS
  17, GDPR).
• Analytics & AI Enablement: Experience enabling advanced analytics, BI, and AI/ML…