Job Details

Job Description

We're hiring a Manager of Data Engineering & Analytics Consulting!

Employment type: Full Time/Direct Hire Only (No Agencies)

Location: Atlanta GA Metro, Washington DC Metro, Charlotte Metro, NYC, or Richmond, VA

Location Type: Hybrid – Home Office/Local Ippon office (1-2 days per week onsite)

About Ippon

The Ippon story started in 2002 in Paris, France. Our founder and CEO Stéphane Nomis used his unique experience as an international Judo champion to create a culture based on sports values of ambition and excellence. Our USA headquarters are located in Richmond, VA, with additional offices in New York, NY, Washington DC, and Atlanta, GA. We are a technology consulting firm that specializes in accelerating our client's digital roadmap in Product Management, Cloud, Data, and Software Engineering. Our culture and reputation are driven by our COACH values; we are Collaborative, Open-minded, Adaptable, Courageous, and Hungry.

About the position

The Manager of Data Engineering & Analytics Consulting leads project delivery, strengthens client relationships, and leads team development. This role blends technical leadership with people management, ensuring high-quality, on-time solutions that drive business value. The Manager also mentors consultants, supports pre-sales, and translates complex needs into practical data solutions across cloud, engineering, and analytics. Ideal for a results-driven, client-focused leader passionate about impact and growth.

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‑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.

• 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 401(k) 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.

Ippon Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to ...

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