What are the responsibilities and job description for the Senior Data Architect (Databricks) position at Go2Group Inc.?
Job Details
Ready to do some interesting, gratifying, and impactful work with Databricks?
Seeking a Senior Data Architect with deep expertise in Databricks to help clients solve complex technology challenges. Join our Data Analytics & AI team to shape innovative cloud and data engineering solutions.
Key Points:
- 6-month contract-to-hire (Although FTE hires are the preference, this particular role due to current constraints and approvals for hires in later quarters)
- Rate: $120-150/hr or more depending on experience, alignment, location, etc.
- Ideal candidates are based in Chicago or New York, but we are also open to locations including Seattle, Washington D.C., Los Angeles, San Francisco, New York City, Dallas, and Minneapolis.
- Onsite 2 days a week in downtown office.
- Must be open to travel, generally 20-30%.
- Applicants must have prior or current experience in tech/management consulting.
- Compensation upon conversion will be $193,000 to $262,000 w/ 15% bonus depending on location, level-set, experience, etc.
What You ll Do:
- Act as a key liaison with client executives (CIOs, IT Directors, etc.) to lead impactful projects
- Partner closely with product teams to drive measurable outcomes
- Design and execute cutting-edge data engineering strategies on the Databricks platform
- Lead enterprise-scale Databricks transformation efforts
- Translate client goals and challenges into forward-thinking technical solutions
- Develop and promote reusable architectural frameworks and best practices
- Coach and grow a team of skilled data engineers
- Build scalable, high-performing data systems using Databricks technologies
- Serve as a technical authority and handle escalations for advanced Databricks implementations
What You Bring:
- 10 years in data engineering, with extensive Databricks experience
- Preferred certifications in Databricks, Snowflake, Azure, AWS, or Google Cloud Platform
- Mastery of tools such as Delta Lake, Spark SQL, DataFrames, and Databricks Notebooks, Databricks File Systems (DBFS), Databricks Connect.
- Hands-on engineering/modeling skills
- Strong foundation in modern data architecture and platform design
- Experience building ML pipelines and enterprise-grade data systems
- Ability to simplify complex tech concepts for business leaders
- Deep knowledge of data modeling, governance, ETL, quality, and security
- Comfortable working in dynamic, fast-paced team settings
- Background in consulting is a plus
- Willingness to travel up to 30%
- Hybrid role in-office 2 days per week
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $120 - $150
