Manager of Data Engineering and Analytics Consulting

Roles and Responsibilities:

• Project Delivery & Technical Leadership:
• Lead and oversee the successful delivery of data engineering and analytics projects, ensuring outcomes align with client goals and contractual obligations
• Act as a hands-on contributor when needed, helping architect and implement data solutions across cloud platforms such as Snowflake.
• Support pre-sales efforts by participating in scoping calls, developing proposals, estimating effort, and presenting technical solutions to prospective clients
• Contribute to internal initiatives such as playbook development, accelerator design, or knowledge sharing to improve delivery efficiency and consistency
• Help drive continuous improvement by providing feedback on processes, tools, and methodologies across the practice
• Travel to client sites as needed, generally within the US, with an expectation of occasional multi-day trips depending on engagement needs


• Client & Team Development:
• Serve as the primary point of contact for client stakeholders, building trusted relationships and ensuring high levels of satisfaction throughout engagements
• Mentor, manage and develop consultants on both technical and consulting competencies, fostering a high-performing, collaborative team culture
• Identify upsell or cross-sell opportunities during delivery and collaborate with Client Success or Sales teams to convert them into formal engagements
• Represent the firm at industry events, meetups, or conferences to expand your network and promote the practice

Competencies we are looking for:

• Minimum Requirements:
• 5+ years of experience in data engineering, analytics, or data consulting, with proven success in client-facing and delivery roles
• 3+ years of experience in modern cloud data platforms such as Snowflake, Databricks, Azure Synapse, or AWS Redshift
• 3+ years of experience coding in SQL and Python, with hands-on experience using PySpark for large-scale data processing
• 3+ years of experience with AWS-native ETL tools such as Glue, EMR, and Step Functions
• Demonstrated ability to lead project delivery, manage small technical teams, and translate business needs into scalable data solutions
• Willingness to travel for client engagements as needed


• Preferred Requirements:
• Prior experience in a consulting or professional services environment
• Familiarity with complex AWS environments and services such as S3, Athena, IAM, Lambda, Step Functions, Secrets Manager, API Gateway, SQS, SNS, Kinesis, DMS, Glue, and Direct Connect
• Experience supporting pre-sales efforts, including proposal development, scoping, and technical demos
• Exposure to data governance, quality frameworks, or enterprise data strategy initiatives
• Familiarity with AI/ML pipelines or integrating ML models into data solutions (POC or production)
• Proficiency with infrastructure-as-code tools such as Terraform, CloudFormation, or Kubernetes
• Excellent written and verbal communication skills, with the ability to present complex topics to technical and non-technical audiences

What we offer:

• Great salary and benefits - Health (HDHP & PPO Plans), dental, and vision insurance, HSA, EAP, as well as a 401k with company match
• Work/life balance - Ippon offers generous PTO, parental leave, medical leave, and flexible schedules
• A fun, creative, and healthy work environment, focused on teamwork, knowledge-sharing, and exceptional delivery
• Opportunities to expand your portfolio and work with different companies and industries
• Career growth, up-skilling, cross-training, and leadership opportunities