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Solutions Consultant - Migrations

Snowflake

Solutions Consultant - Migrations

Snowflake

IN-Pune-Remote

·

Remote

·

Full-time

·

1mo ago

Benefits & Perks

Competitive salary and equity package

Professional development budget

Parental leave

Comprehensive health, dental, and vision insurance

401(k) matching

Flexible work arrangements

Equity

Learning

Parental Leave

Healthcare

Flexible Hours

Required Skills

Python

JavaScript

PostgreSQL

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

We are looking for a Solutions Consultant to be part of our Service Delivery (SD) team to deploy cloud products and services for our customers. This person must be a hands-on, self-starter who loves solving innovative problems in a fast-paced, agile environment. The ideal candidate will have the insight to connect a specific business problem and Snowflake’s solution and communicate that connection and vision to various technical and executive audiences.

The person we’re looking for shares our passion for reinventing the data platform and thrives in a dynamic environment. That means having the flexibility and willingness to jump in and get it done to make Snowflake and our customers successful. It means keeping up to date on the ever-evolving data and analytics technologies, and working collaboratively with a broad range of people inside and outside the company to be an authoritative resource for Snowflake and its customers.

AS A SOLUTIONS CONSULTANT AT SNOWFLAKE, YOU WILL:

  • Be responsible for delivering exceptional outcomes for our teams and customers during our migration projects. You will engage with customers and APJ consulting teams to assist with the migration from legacy environments into Snowflake and or Snowpark

  • In addition to customer engagements, you will work with our internal team to provide requirements for our Snowconvert utility, based on project experiences. This ensures that our tooling is continuously improved based on our implementation experience.

OUR IDEAL SOLUTIONS CONSULTANT WILL HAVE:

  • University degree in computer science, engineering, mathematics or related fields, or equivalent experience

  • Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer.

  • Willingness to forge ahead to deliver outcomes for customers in a new arena, with a new product set

  • Passion for solving complex customer problems

  • Ability to learn new technology and build repeatable solutions/processes

  • Ability to anticipate project roadblocks and have mitigation plans in-hand

  • Experience in Data Warehousing, Business Intelligence, AI/ML, migration, or Cloud projects

  • Experience in building realtime and batch data pipelines using Spark and Scala

  • Proven track-record of results with multi-party, multi-year digital transformation engagements

  • Proven ability to communicate and translate effectively across multiple groups from design and engineering to client executives and technical leaders

  • Strong organizational skills, ability to work independently and manage multiple projects simultaneously

  • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI)

  • Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)

  • Software development experience with Python, Java , Spark and other Scripting languages

  • Proficiency in implementing data security measures, access controls, and design within the Snowflake platform.

  • Internal and/or external consulting experience.

Skillset and Delivery Activities:

  • Have the ability to outline the architecture of Spark and Scala environments

  • Guide customers on architecting and building data engineering pipelines on Snowflake

  • Run workshops and design sessions with stakeholders and customers

  • Create repeatable processes and documentation as a result of customer engagement

  • Scripting using python and shell scripts for ETL workflow

  • Develop best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own

  • Weigh in on and develop frameworks for Distributed Computing, Apache Spark, Py Spark, Python, HBase, Kafka, REST based API, and Machine Learning as part of our tools development (Snowconvert) and overall modernization processes

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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About Snowflake

Snowflake

Snowflake

Public

snowflake provides web applications and web hosting services.

1-50

Employees

Zürich

Headquarters

Reviews

3.6

1 reviews

Work Life Balance

3.0

Compensation

3.5

Culture

2.5

Career

3.0

Management

2.0

35%

Recommend to a Friend

Pros

Positive performance reviews and raises

Opportunities to learn new technical skills

Career advancement with promotion

Cons

Role demotion after acquisition

Poor communication regarding promotions

Administrative inefficiencies with title updates

Salary Ranges

3,987 data points

Junior/L3

L3

L4

L5

L6

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist

277 reports

$252,858

total / year

Base

$171,306

Stock

$57,741

Bonus

$23,811

$190,229

$354,557

Interview Experience

8 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Experience

Positive 0%

Neutral 88%

Negative 12%

Interview Process

1

Application Review

2

Resume Screening

3

Initial Phone Screen

4

Technical Phone Screen

5

Technical Coding Round

6

Offer Discussion

Common Questions

Coding/Algorithm

Technical Knowledge

System Design

Behavioral/STAR