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Solutions Architect, Data

1 month ago

Arlington, United States Lovelytics Full time

Lovelytics is seeking a Datbaricks certified and established consultant with experience delivering and selling strategic Databricks and data engineering client engagements.

This Solutions Architect will play the role of a data and  AI solution architect, primarily focusing on presales, relating to data warehousing, ETL development, data integrations, and data modeling (databricks and the 3 clouds). In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data through thought leadership and execution.

Role Location: Open to remote candidates in the US in the following states: MD, DC, CA, IL, IA, IN, MA, NC, TX, TN, GA, CO, NY, NJ, VA, FL, PA, OH, OR.

Primary Job Responsibilities:

  • Own the end-to-end presales solutioning activities and outcomes.
  • Work directly with client stakeholders in partnership with the sales team to understand the scope of a project, estimating effort, designing future state architecture, and developing statements of work.
  • Articulate business value as part of a technology initiative.
  • Work hand in hand with the Engagement Leader in post sales stages.
  • Develop offerings relevant to industries and emerging trends.
  • Lead assessment and strategy engagements for clients that may be trying to modernize an on-prem data platform, align their data initiative to business outcomes, or revamp a Data & AI operating model
  • Own and deliver outstanding presentations and demonstrations to individual clients and groups of prospective clients
  • Ability to interact with various personas across an enterprise ranging from a Technology Lead to COO and solution according to their needs and understanding
  • Provide thought leadership in the form of blogs, technical ideation for Lovelytics' new offerings, and solutions for client's problems across various verticals.
  • Conduct ideation workshops either in person or virtually to help clients understand the art of the possible
  • Constantly help improve Lovelytics' pre-sales and technical sales processes and activities to improve the client experience and our internal sales metrics

Our Ideal Candidate's Skills and Experiences:

  • B.S. in Computer Science or equivalent
  • 10+ years in Data & AI with 5+ years in a previous consulting firm
  • 2+ years with previous experience estimating, designing, and developing roadmaps for data & AI customer engagements, in a presales capacity
  • Previous experience in Technology Strategy or Advisory within an established consulting firm
  • Experience designing Data or AI Strategies for at least two business functions such as Marketing, Supply Chain, etc.
  • Experience with Enterprise Frameworks such as DAMA, DCAM, and CMMI
  • Experience with architecting Data Products, Data Mesh, Data Warehouse, and Data Lake implementations for customers
  • Understanding of Valuation basics, Scaled Agile and Product Management
  • Experience with Spark, SQL, and Python
  • Ability to travel within the US

What We Promise You:

  • Exciting projects with great clients in varying departments and verticals across the world
  • The ability to work closely with experienced data engineers and quickly grow and expand your skillset
  • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses
  • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
  • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better
     

Lovelytics is an Equal Opportunity Employer. This means you don’t have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.