Senior Solutions Architect - Data and AI

Company Overview:

Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500s, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company.

Position Overview:

We are seeking a seasoned, highly effective, and self-motivated Senior Technical Solutions Consultant to join our growing engineering team. The ideal candidate will possess a robust technical background, an insatiable curiosity for new data technology, and outstanding proven consultative skills. This role is pivotal in leveraging technical expertise, business acumen, and sales support abilities to drive growth and client satisfaction.

This role demands a strong foundation in consultative technical selling, with the ability to listen attentively to client's needs and identify and communicate technical solutions in terms that clients can understand and find compelling. This role will also collaborate effectively with our business development and sales teams to develop and communicate bespoke solutions. Senior Technical Solutions Consultant will be pivotal in bridging the gap between sales and technical teams to close new opportunities and grow existing ones.

Leveraging their technical expertise, business acumen, and sales support abilities, the Senior Technical Solutions Consultant will stay up-to-date on evolving technologies in the data, analytics, machine learning, and AI space, as well as drive market research, assist with and contribute actively to go-to-market (GTM) initiatives, productively engage prospects and clients and ensure that our solutions align with client objectives to achieve our ambitious growth targets. The Senior Technical Solutions Consultant will impact revenue growth, customer satisfaction, and product development.

Responsibilities:

• Client Engagement and Consultative Selling: Serve as the primary technical liaison between clients and our technical teams. Engage with senior-level stakeholders to understand their business challenges and articulate clear, compelling technical solutions aligned with their strategic goals.
  • Lead complex client engagement delivery, often with ambiguity and little direction. Provide architectural assessments, strategies, and roadmaps for data management.
• Technical Consultation and Solution Development: Lead assessment and strategy engagements related to Data & AI initiatives for clients. Provide technical and strategic consultation and collaborate closely with technical, sales, and customer success teams to work with engineering architects to develop innovative, data-driven solutions for our clients.
  • Plan and lead workshops with client teams to understand the current landscape, requirements, and constraints and map to the latest technology products and platforms to come up with future architecture.
  • Architect market-leading Databricks solutions on leading Cloud platforms like Azure, AWS, and GCP. This includes ETL/ELT and Lakehouse architecture and design.
  • Provide data architectural solutions/designs to project execution teams for implementation.
• Strategic Thought Leadership: Synthesize industry trends, technological advancements, and business strategies into articulate viewpoints to further Blue Orange’s thought leadership in the Data & AI space through blog posts, white papers, and technical ideation for our service offerings.
• Analytical and Research Skills: Strong ability to conduct thorough research to back up points of view with data and real-world examples. This involves not only gathering data but also analyzing it to draw meaningful conclusions that support their arguments.
• Data & AI Expertise: Maintain a deep understanding of industry trends and data technologies. Utilize expertise in Databricks and other modern data tools and platforms to enhance our consulting approaches and technical solutions. This role will work extensively with our Databricks practice and Databricks partnership.
• Market and Industry Expertise: Stay abreast of industry trends, emerging technologies, and competitive landscape to enhance consultative selling approaches and technical knowledge. Develop targeted GTM-oriented industry and technology analyses. Learn new technologies and platforms quickly and keep experience relevant to clients’ needs.
• Go-to-Market Strategy and Sales Support: Participate in developing and executing GTM strategies that effectively communicate our value proposition to diverse audiences, including non-technical stakeholders. Support the sales team in responding to technical queries, RFPs, and proposal preparation, ensuring technical accuracy and strategic alignment with client goals.
• Project and Timeline Management: Actively estimate and manage project timelines and resource requirements, ensuring they meet quality standards and timelines, and adjust project scopes based on evolving client needs.
• Continuous Improvement and Feedback Integration: Drive continuous improvement in sales strategies and technical solutions through feedback and lessons learned from client engagements. Use insights gained to refine approaches and enhance client satisfaction.
• And other requests as directed by your manager.

Requirements:

• Proven track record in engaging in consultative selling to C-Suite and executive-level clients, focusing on developing strategic solutions that advance client interests
• Bachelor’s degree or higher in Computer Science, Engineering, Data Science, or related field, or equivalent experience.
• 8+ years of hands-on experience in the Data Analytics, Data Engineering, and AI space.
• 2+ years of hands-on experience implementing, designing, and building Lakehouse or Cloud Data Warehouse solutions
• 4+ years in technical consulting, sales engineering, or similar roles within the data space
• Experience consulting in 3 of the following vertical industries:
  
  • FinTech
  • Investment
  • Insurance
  • Sports Analytics
  • Retail/CPG
  • Manufacturing
  • Real Estate & Construction
  • Travel & Hospitality
    
• Experience and certifications in modern cloud and data tools and technologies (ie. Databricks, Snowflake, AWS, GCP, Azure, dbt, Fivetran, Hudi, Iceberg, spark, Python, PyTorch, TensorFlow, SQL, etc.) plus the abilities and desire for more
• In-depth data services understanding in 2+ major cloud providers – AWS, Azure, GCP
• Ability to translate complex technical concepts into understandable terms; adept at engaging and influencing senior management and non-technical stakeholders
• Exceptional communication, presentation, and interpersonal skills, particularly adept at conveying complex technical concepts effectively to non-technical audiences with ease
• Skills in influencing others’ opinions and fostering discussions with clients and the industry
• Eager to learn and adapt in a rapidly evolving tech landscape
• Self-directed and motivated with a results-driven approach, capable of achieving deliveries and outcomes independently with limited external direction
• Bachelor’s degree or higher in Computer Science, Engineering, IT, Data Science, or a related field
• Ability and willingness to travel as required to meet clients and attend industry events

Preferred qualifications:

• Hands-on familiarity with data engineering and/or ML/AI coding languages and frameworks, such as SQL, python, R, java, scala, js, ts, pytorch, spark, tensorflow, ETL/ELT, LLMs, etc.
• Engineering certifications in Databricks, Azure, AWS, GCP, Snowflake and related tools
• Pre-sales track certifications across the same
• Masters, MBA, or other advanced degree a strong plus

Benefits:

• 401k Matching
• Unlimited PTO
• Healthcare, Dental, Vision, and Life Insurance
• Paid parental/bereavement leave
• Home office stipend

Salary: 135,000 - 145,000 / Year (USD $)

Blue Orange Digital is an equal opportunity employer.

Background checks may be required for certain positions/projects.