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Sr. Platform and DataLake Engineer

Who We Are 

TetraScience is the Scientific Data and AI Cloud company with a mission to radically improve and extend human life. TetraScience combines the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to accelerate and improve scientific outcomes. TetraScience is catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which it brings to life in a growing suite of next generation lab data management products, scientific use cases, and AI-based outcomes. For more information, please visit tetrascience.com.

Our core values are designed to guide our behaviors, actions, and decisions such that we operate as one. We are looking to add individuals to our team that demonstrate the following values:

  • Transparency and Context- We execute on our ambitious mission by starting with radical data transparency and business context. We openly and proactively share all vital data and make it actionable, so our employees and stakeholders can solve any problem presented to them.
  • Trust and Collaboration- We are committed to always communicating openly and honestly at every level of the organization, functionally, cross-functionally, internally, and externally. Empowering our employees will drive positive change across our entire ecosystem.
  • Fearlessness and Resilience- We must be fearless and resilient to fulfill our potential. We proactively run toward challenges of all types, we unblinkingly acknowledge and confront the brutal facts - which all innovative growth companies invariably face – and we embrace uncertainty and take calculated risks.
  • Alignment with Customers- We know that our customers' success is our success. We are honored and humbled by their commitment to us, and we are completely committed to ensuring they achieve their mission to unlock the world’s most important scientific innovations.
  • Commitment to Craft- We take our craft seriously and seek to be best-in-class in all we do, regardless of our functional role, seniority, or tenure. We are members of one team that combines intellectual horsepower and curiosity, humility, and empathy to ensure we are always learning and evolving.
  • Equality of Opportunity- We cannot imagine our journey without a workforce which reflects humanity’s diversity. We seek out the best of the best who bring with them unique and invaluable perspectives and talents and embody our common values - regardless of gender, ethnicity, race, or age.

The Role

As a Senior Platform and Data Lake Engineer at TetraScience, you will play a critical role in building and maintaining our data infrastructure. You will work closely with cross-functional teams to ensure the seamless ingestion, processing, and storage of significant volumes of scientific data. The role requires extensive experience building and supporting data pipeline infrastructure and hands-on experience in the Databricks ecosystem.

What You Will Do

  • Design, develop, and optimize data lake solutions to support our scientific data pipelines and analytics capabilities.
  • Design, develop, and optimize data pipelines and workflows within the Databricks platform.
  • Design and architect services to meet customer data processing needs.
  • Implement data quality and governance frameworks to ensure data integrity and compliance.
  • 8+ years of experience in the software development industry, preferably in data engineering, data warehousing r data analytics companies and teams.
  • 3+ year of experience with the DataBricks ecosystem.
  • Expert level of Python, Java, and Typescript.
  • Expert level of understanding and hands-on experience with Lake House architecture.
  • Expert level of experience with Spark/Glue and Delta tables/iseberg.
  • Experienced in designing and implementing complex, scalable data pipelines/ETL services.
  • Extensive in cloud-based data storage and processing technologies, particularly AWS services such as S3, Step Functions, Lambda, and Airflow.
  • Ability to articulate ideas clearly, present findings persuasively, and build rapport with clients and team members.

Nice to Have

  • Knowledge of basic DevOps and MLOps principles
  • Working knowledge of Snowflake
  • Experience in working with Data Scientists and ML Developers
  • Experience in management and lead developer roles from technology services companies
  • Hands-on experience with data warehousing solutions and ETL tools.

  • 100% employer-paid benefits for all eligible employees and immediate family members
  • Unlimited paid time off (PTO)
  • 401K
  • Flexible working arrangements - Remote work
  • Company paid Life Insurance, LTD/STD
  • A culture of continuous improvement where you can grow your career and get coaching

We are not currently providing visa sponsorship for this position.

TetraScience Glassdoor Company Review
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CEO of TetraScience
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Patrick Grady
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Average salary estimate

$135000 / YEARLY (est.)
min
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$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Sr. Platform and DataLake Engineer, TetraScience

Join TetraScience as a Senior Platform and Data Lake Engineer, where you'll be instrumental in creating and maintaining robust data infrastructure that drives scientific innovation! At TetraScience, we are on a mission to enhance and lengthen human life through the power of our Scientific Data and AI Cloud. Your role will be critical as you partner with cross-functional teams to ensure the efficient ingestion, processing, and storage of vast amounts of scientific data. With your extensive experience in data engineering and proficiency in the Databricks ecosystem, you will design, develop, and optimize innovative data lake solutions to support our analytics endeavors. You'll also play a key part in establishing data quality and governance frameworks, guaranteeing integrity and compliance. If you're a collaborative problem solver with a passion for pushing the envelope of scientific discovery, TetraScience is the place for you to thrive! Plus, enjoy our supportive and diverse work culture, where your growth is prioritized. We can't wait to see how your talents contribute to our mission!

Frequently Asked Questions (FAQs) for Sr. Platform and DataLake Engineer Role at TetraScience
What are the key responsibilities of a Senior Platform and Data Lake Engineer at TetraScience?

As a Senior Platform and Data Lake Engineer at TetraScience, your primary responsibilities will revolve around designing, developing, and optimizing data lake solutions that support scientific data pipelines and analytics. You'll be hands-on with the Databricks platform, ensuring efficient data ingestion and processing. Moreover, you'll implement data quality and governance frameworks to maintain data integrity, working closely with cross-functional teams to adapt to changing customer needs.

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What qualifications and experience do I need for the Senior Platform and Data Lake Engineer position at TetraScience?

To be considered for the Senior Platform and Data Lake Engineer role at TetraScience, you should have a minimum of 8 years of experience in the software development industry, focusing on data engineering, data warehousing, or data analytics. Additionally, you'll need at least 3 years working within the Databricks ecosystem. Proficiency in Python, Java, Typescript, and a strong understanding of Lake House architecture are crucial for success in this position.

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What technologies and tools should a Senior Platform and Data Lake Engineer at TetraScience be familiar with?

As a Senior Platform and Data Lake Engineer at TetraScience, you should have extensive expertise in Spark, Glue, Delta tables, and Iseberg, along with a solid knowledge of AWS services like S3, Step Functions, and Lambda. Familiarity with data processing tools, ETL solutions, and cloud-based storage technologies will be essential in optimizing our data infrastructure.

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Are there opportunities for career growth as a Senior Platform and Data Lake Engineer at TetraScience?

Absolutely! TetraScience offers a culture of continuous improvement and development, where employees are encouraged to grow their careers. As a Senior Platform and Data Lake Engineer, you'll have access to coaching and learning opportunities that allow you to expand your skills and advance within the organization.

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What kind of work culture can I expect at TetraScience as a Senior Platform and Data Lake Engineer?

At TetraScience, we pride ourselves on maintaining a culture of collaboration, transparency, and trust. As a Senior Platform and Data Lake Engineer, you will join a diverse team that values equality of opportunity and nurtures innovation. You'll be empowered to tackle challenges head-on while contributing to our mission to improve scientific outcomes.

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Common Interview Questions for Sr. Platform and DataLake Engineer
Can you describe your experience with the Databricks ecosystem?

In your response, highlight specific projects or tasks where you utilized Databricks for data processing. Discuss how you designed pipelines or optimized workflows, emphasizing your proficiency with relevant tools and techniques.

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What strategies do you use to ensure data quality and governance?

Detail any frameworks or methodologies you've employed in previous roles. Explain how you would implement these strategies at TetraScience to maintain data integrity across platforms and ensure compliance with regulations.

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How do you handle challenges in data ingestion and processing?

Share examples of challenges you've faced and how you addressed them, demonstrating your problem-solving skills. Describe your analytical approach and any tools used to troubleshoot data pipeline issues.

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What is your approach to designing data lake solutions?

Discuss your thought process on scalability, performance, and security when designing data lake solutions. Share any best practices you've followed to meet customer needs effectively.

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How do you communicate data findings to diverse teams?

Emphasize your ability to tailor communication styles to different audiences. Explain your methods for presenting complex data insights in a clear and engaging manner.

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What is Lake House architecture, and why is it important?

Summarize your understanding of Lake House architecture, including its benefits for data storage and analytics. Mention any relevant experience implementing this architecture in your past roles.

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Can you explain the relationship between Spark and data processing in a cloud environment?

Explain Spark's capabilities in distributed data processing and how it integrates with cloud infrastructures like AWS. Highlight your practical experiences in utilizing Spark for ETL processes.

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What tools have you used for ETL processes?

List the ETL tools you’re familiar with and describe your experience with each. Mention any specific projects where you implemented these tools to streamline data workflows.

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Describe a project where you had to collaborate with data scientists or ML developers.

Provide an overview of a collaborative project, emphasizing your role and contributions. Highlight how you supported the data science team with infrastructure or data solutions.

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How do you keep up-to-date with the latest trends in data engineering?

Discuss methods you employ, such as attending webinars, joining forums, and reading relevant literature. Share your enthusiasm for ongoing learning in this fast-evolving field.

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Combine the world's only open, purpose-built, and collaborative scientific data and AI cloud with deep scientific expertise across the value chain to radically accelerate and improve scientific outcomes.

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Full-time, remote
DATE POSTED
December 3, 2024

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