Technical Project Manager - Databricks

Mutt Data Β· full-time Β· posted 20 Aug

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The actual job

Technical Project Manager - Databricks

Mutt Data

Top skills
Python Β· AWS Β· Azure
Engagement
Full-time
Posted
4 days ago

What the posting asks for

  • 7 years of experience
  • Databricks
  • Cloud data engagements
  • Data migration
  • Data lake/warehouse builds

Employer text

The posting, in its own words

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€
At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.

We are looking for a proactive, hands-on, and business-oriented Data Engineering Project Manager  to join our team πŸΆπŸš€. We're seeking someone with strong leadership and communication skills, well-versed in project management methodologies, and with a solid understanding of technical concepts across modern cloud data stacks. Adaptability, problem-solving abilities, and the capacity to work under pressure are key to success in this role.

This role will own cloud data engagements end to end  from planning to execution β€” ensuring proposed plans are built and delivered on time, on budget, and within scope, while leading cross-functional teams of data engineers, data scientists, and other technical professionals.

πŸš€ What We Do

  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
  • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

🌟 Our Partnerships

  • Amazon Web Services
  • Astronomer
  • Databricks

🌟 Our Values

  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset
 
πŸ” Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! πŸš€

Responsibilities πŸ€“

  • End-to-end project planning & delivery – Define scope, objectives, and project plans with stakeholders, ensuring adherence to timeline, budget, and resources.
  • Team leadership – Assemble and lead cross-functional teams (data engineers, data scientists, etc.), assigning clear roles and tasks.
  • Tracking & reporting – Monitor progress, proactively catch deviations, and implement tracking/reporting mechanisms for stakeholders.
  • Risk management & governance – Establish governance structures, identify risks, and develop mitigation and contingency plans.
  • Quality & continuous improvement – Maintain project documentation, promote best practices, and stay current with cloud computing trends.

Required Skills πŸ’»

  • Graduate or Postgraduate degree in Computer Science, Information Technology, or a related field.
  • 7-10+ years of IT experience managing delivery and interfacing with key project stakeholders.
  • At least 2 years of experience managing cloud data engagements such as data migration, data lake/data warehouse builds, data engineering, or data science projects.
  • Hands-on experience with modern cloud data stacks (e.g., Databricks, Spark, Python, AWS, Azure, GCP).
  • Hands-on knowledge of PM tools and techniques (Jira, Trello, Zoho Projects, Redmine, or similar).
  • Experience implementing and managing Agile engineering project best practices.
  • Experience in strategic planning, risk management, and/or change management.
  • Strong written and spoken English.

Nice to have πŸ’‘

  • Experience working with Databricks-based cloud data engagements specifically.
  • Experience working with financial services or other regulated industry clients.
  • Background in consulting environments or managing multiple concurrent clients.
  • Knowledge of AI/ML data ecosystems.
  • Experience mentoring technical teams or leading technical initiatives.

Perks🎁

  • Remote-first culture – work from anywhere! 🌍
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.
  • Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.