Data Solutions Engineering Manager

Posted 8 Days Ago
Be an Early Applicant
St Louis, MO
Hybrid
Mid level
Software
The Role
As a Databricks Pre-Sales Engineer, you will support the sales team with technical expertise, conduct product demonstrations, engage with customers to tailor data solutions, assist in RFP responses, perform market research, and provide post-sales support. Strong experience in Databricks or Snowflake and cloud platforms is required.
Summary Generated by Built In

Object Computing Inc., a leading women-owned technology consulting firm, is seeking a passionate and innovative Data Solutions Engineering Manager to join our dynamic team. With a proven track record of delivering cutting-edge solutions across diverse industries, we offer unparalleled opportunities for professional growth and development.


As a Data Solutions Engineering Manager at Object Computing, you'll have the unique chance to work on a wide range of projects, collaborating with clients from various sectors to solve complex data challenges. Our commitment to fostering a supportive and inclusive work environment empowers you to explore your full potential and contribute meaningfully to our team's success.

Responsibilities:

  • Technical Sales Support: Work closely with the sales team to identify customer pain points and propose suitable data solutions using Databricks or Snowflake.
  • Product Demonstrations: Conduct product demonstrations, proofs-of-concept (PoCs), and workshops to showcase the capabilities of Databricks or Snowflake.
  • Technical Expertise: Provide deep technical expertise in Databricks or Snowflake architecture, data warehousing, cloud computing, and data engineering.
  • Customer Engagement: Engage with customer stakeholders to understand their technical and business needs and design tailored solutions.
  • RFP Responses: Assist in RFP responses and develop technical sales presentations.
  • Market Research: Stay updated on the latest developments in cloud data platforms, industry trends, and competitive landscape.
  • Product Feedback: Work with product and engineering teams to communicate customer feedback and influence product roadmaps.
  • Technical Documentation: Develop and deliver technical documentation, white papers, and solution architectures for customer engagement.
  • Post-Sales Support: Support the post-sales transition by working with implementation and customer success teams.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, or a related field (Master’s preferred).
  • 3-5 years of experience in a technical pre-sales, solutions engineering, or data engineering role.
  • Strong professions experience and expertise in Databricks or Snowflake, including architecture, data pipelines, performance tuning, and integration.
  • Experience with cloud platforms (e.g., AWS, Azure, or GCP) and data warehousing concepts.
  • Proficient in SQL, Python, or other programming languages used in data engineering.
  • Experience in Big Data, ETL, data lakes, and business intelligence tools.
  • Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Proven problem-solving skills and ability to work in a fast-paced, customer-facing environment.
  • Ability to manage multiple client engagements simultaneously and deliver high-quality results.

Preferred Skills:

  • Certifications in Databricks or Snowflake.
  • Experience in machine learning and data analytics.
  • Understanding of data governance, security, and compliance regulations (GDPR, HIPAA, etc.).

Top Skills

Python
SQL
The Company
HQ: Saint Louis, MO
456 Employees
On-site Workplace
Year Founded: 1993

What We Do

Object Computing, Inc. (OCI) is a modern consulting company that uses technology to create and accelerate business outcomes. Business leaders turn to OCI to design and build solutions that unlock transformative value, get to market faster, and do far more with less by leveraging today's leading-edge technologies in the areas of blockchain, machine learning, industrial IoT, cloud services, serverless computing, and more.

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