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Solutions Architect (Big Data)

extra holidays

Remote:

Full Remote

Contract:

Full time

Experience:

Expert & Leadership (>10 years)

Work from:

India

Offer summary

Qualifications:

10+ years experience in data engineering, 8+ years in a customer-facing role, Experience in cloud migrations planning, Knowledge of cloud ecosystems (AWS, Azure, GCP), Comfortable with Python or Scala.

Key responsabilities:

Migrate on-prem and cloud systems to Databricks
Design and build reference architectures
Handle impactful customer technical projects
Provide escalated support for operational issues
Collaborate with teams to meet customer needs

Databricks Computer Software / SaaS XLarge https://databricks.com/

5001 - 10000 Employees

See more Databricks offers

Job description

FEQ225R141

As a Solution Architect (Big data) in our Professional Services team, you will work with customers on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects that require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data. RSAs are billable and know how to complete projects according to specifications with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:
- Position, size, scope and deliver the migrations from on-prem and cloud source systems to Databricks.
- Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to', and productionalizing customer use cases
- Work with engagement managers to scope a variety of professional services with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build, and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement customer projects which leads to a customer's successful understanding, evaluation, and adoption of Databricks.
- Provide an escalated level of support for customer operational issues
- Collaborate with the Databricks Technical, Project Manager, Architect, and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues
What we look for:
- 10+ years experience in data engineering, data platforms & analytics
- 8+ years of experience in a customer-facing role
- Experience specifically in planning and executing complex migrations to the cloud
- Experience in leading and driving migration workshops working by hand in hand with partners and end customers.
- Experience working across a global partner ecosystem to leverage external expertise and tooling to migration legacy data solutions to the cloud
- Comfortable writing code in either Python or Scala
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Design and deployment of performant end-to-end data architectures
- Experience with technical project delivery - managing scope and timelines
- Documentation and white-boarding skills
- Experience working with clients and managing conflicts
- Build skills in technical areas that support the deployment and integration of Databricks-based solutions to complete customer projects
- Ability to travel up to 30% when needed

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.