Wavestone1
Data & AI Strategy - Senior Advisor
New York, NY, United States · Senior · Full-time
Sponsorship not specifiedDetected 33 days ago
PythonSQLSnowflakeDatabricksAWSGCPAzureCloud PlatformsMachine LearningSparkAirflowData AnalysisData EngineeringData ScienceCybersecurityIncident ResponseComplianceProject ManagementStakeholder ManagementBusiness DevelopmentSAPLeadershipCommunicationProblem Solving
About the role
- Energetic, solution-driven experts who focus as much on people as on performance and growth.
- Hand in hand, we share a deep desire to make a positive impact.
- In North America, Wavestone operates from hubs in New York City, Pittsburgh, Dallas and Toronto.
Responsibilities
- 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.
- Drive business development by shaping proposals, leading client pitches, and contributing to thought leadership and market offerings.
- Advanced Data Engineering: Deep hands-on experience designing, building, and optimizing data pipelines and architectures (Python, SQL, Spark, Databricks, Snowflake, Azure, AWS, etc.).
- Wavestone hires the brightest, creative, and most dedicated candidates, developing them into confident and knowledgeable leaders and business experts.
Requirements
- Proven ability to set and execute data strategy, governance, and architecture at the enterprise level.
- Ability to communicate and influence at the C-suite and senior leadership level.
Nice to have
- 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.
Skills
- Expertise in architecting and deploying solutions on leading cloud platforms (Azure, AWS, GCP, Snowflake).
Benefits
- 25 PTO / 6 Federal Holidays / 4 Floating Holidays
- 4 months parental leave to birthing parent / 2 months to supporting parent
- Medical / Dental / Vision coverage
- Up to 4% bonus based on personal and company performance with room to grow as you progress in your career
- Employee Stock Options Plan (ESPP)
- Mentor and develop consultants and client teams, fostering a culture of technical excellence, continuous learning, and high performance.
Company info
- We are recruiting at Manager/Senior Manager grade.
- As a part of the Wavestone team, you will be constantly engaged with projects and opportunities that will develop your skills and advance your career.
Equal opportunity
- Wavestone seeks diversity among our team members and is an Equal Opportunity Employer.
- At Wavestone, we celebrate diversity and inclusion.
- We have a strong global CSR agenda and an active Diversity & Inclusion committee with Gender Equality, LGBTQ+, Disability Inclusion and Anti-Racism networks.
- If you need flexibility, assistance, or an adjustment to our recruitment process due to a disability or impairment, you may reach out to us to discuss this.
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