Get the chrome extension Solutions Architect - Consumer Packaged Goods (CPG)
Databricks
Solutions Architect (L5)
The Role
As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.
The Impact You Will Have
- Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
What We Look For
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Have:
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt 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 click here.
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.
Originally posted on Himalayas
Principal Solutions Architect - Migrations
Snowflake
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake Professional Services is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimize, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures, and guiding customers through decision paths to achieve impactful outcomes. We advise everyone from developers through senior executives on how best to utilize Snowflake to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of technology.
In this role, you will lead and execute complex migrations from legacy systems to the Snowflake platform. You will collaborate closely with customers and system integrators to understand their requirements, design robust migration strategies, and ensure seamless transitions with minimal disruption. Additionally, you will work with a diverse range of teams both inside and outside the company.
RESPONSIBILITIES:
Design comprehensive migration plans and solutions tailored to the customer's needs and architecture, ensuring a seamless transition to Snowflake
Partner with our customers, acting as the technical expert for all aspects of Snowflake during implementation
Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
Create presentations and document learnings from the project. Develop utilities and accelerators to streamline migration and related activities
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
MINIMUM QUALIFICATIONS:
7+ years of experience working with customers in a pre-sales or post-sales technical role, preferably as a solutions architect
Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform
Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc.
End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure, GCP)
Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
Extensive hands-on expertise with SQL and SQL analytics and scripting languages like Python, Bash, Shell etc.
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
PREFERRED QUALIFICATIONS:
3 years of technical consulting experience
Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
Familiarity and experience with common BI and data exploration tools (e.g. Power BI, Microstrategy, Business Objects, Tableau)
Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, OpenStack, etc.)
Experience implementing ETL pipelines using custom, packaged tools and software development experience using C/C++, Java etc.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
The application window is expected to be open until January 19, 2025. This opportunity will remain posted based on business needs, which may be before or after the specified date.
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:
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $166,000 - $218,400.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
Originally posted on Himalayas
Principal Solutions Architect - Migrations
Snowflake
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake Professional Services is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimize, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures, and guiding customers through decision paths to achieve impactful outcomes. We advise everyone from developers through senior executives on how best to utilize Snowflake to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of technology.
In this role, you will lead and execute complex migrations from legacy systems to the Snowflake platform. You will collaborate closely with customers and system integrators to understand their requirements, design robust migration strategies, and ensure seamless transitions with minimal disruption. Additionally, you will work with a diverse range of teams both inside and outside the company.
RESPONSIBILITIES:
Design comprehensive migration plans and solutions tailored to the customer's needs and architecture, ensuring a seamless transition to Snowflake
Partner with our customers, acting as the technical expert for all aspects of Snowflake during implementation
Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own
Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments
Create presentations and document learnings from the project. Develop utilities and accelerators to streamline migration and related activities
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
MINIMUM QUALIFICATIONS:
7+ years of experience working with customers in a pre-sales or post-sales technical role, preferably as a solutions architect
Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform
Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc.
End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure, GCP)
Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
Extensive hands-on expertise with SQL and SQL analytics and scripting languages like Python, Bash, Shell etc.
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
PREFERRED QUALIFICATIONS:
3 years of technical consulting experience
Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)
Familiarity and experience with common BI and data exploration tools (e.g. Power BI, Microstrategy, Business Objects, Tableau)
Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, OpenStack, etc.)
Experience implementing ETL pipelines using custom, packaged tools and software development experience using C/C++, Java etc.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
The application window is expected to be open until January 19, 2025. This opportunity will remain posted based on business needs, which may be before or after the specified date.
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:
The following represents the expected range of compensation for this role:
- The estimated base salary range for this role is $166,000 - $218,400.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
Originally posted on Himalayas