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Snowpro Jobs in Virginia (NOW HIRING)

... SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual ...

Data Strategy-Manager

Richmond, VA · On-site

$99K - $232K/yr

... SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks ...

SnowPro Core, Advanced, or Architect certification(s). * Experience with modern data stack tools: dbt, Airflow, Kafka, Spark, Fivetran, Matillion, or similar. * Knowledge of AI/ML workflows, vector ...

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

AWS Certified Data Analytics / Solutions Architect, SnowPro Core/Advanced. Your Toolkit Category Tools & Skills Big Data PySpark, Spark SQL, Databricks (plus) Cloud Data Warehouse Snowflake (SnowSQL ...

Snowpro information

Why is Gen Z struggling to get jobs?

Gen Z faces challenges in securing jobs like Snowpro roles due to limited work experience, high competition, and evolving skill requirements such as cloud computing and certifications. Employers often seek candidates with practical skills, certifications, and adaptability to new technologies, which can be difficult for entry-level applicants to demonstrate.

What is the difference between Snowpro vs Data Engineer?

AspectSnowproData Engineer
CertificationsSnowPro CertificationTypically no specific certification, but often holds certifications like Google Cloud, AWS, or Azure Data Engineer
Work EnvironmentCloud data platforms, primarily Snowflake environmentVaried environments including cloud and on-premises, working with multiple data tools
Industry UsagePrimarily in data warehousing and cloud data platform rolesBroader data roles including data pipeline development, ETL, and data architecture

While Snowpro focuses on expertise in Snowflake data platform management and cloud data warehousing, Data Engineers have a broader scope, working across various data tools and platforms. Snowpro certification validates specific Snowflake skills, whereas Data Engineers often hold multiple certifications and possess diverse technical knowledge. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are Snowpros?

Snowpros are professional ski and snowboard instructors who are certified to teach people of all ages and skill levels on snow. They provide lessons on skiing or snowboarding techniques, safety, and mountain etiquette, often working at ski resorts or in private settings. Snowpros may hold certifications from organizations like the Professional Ski Instructors of America (PSIA) or the American Association of Snowboard Instructors (AASI). Their goal is to help students improve their skills, gain confidence on the slopes, and enjoy their snow sports experience.

What is the 3 month rule for jobs?

The 3 month rule for jobs, including roles like Snowpro, typically refers to a probationary period of three months during which an employee's performance is evaluated before confirming permanent employment. This period allows employers to assess skills, adaptability, and fit for the role, often affecting benefits and job security afterward.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like Snowpro or data engineers working with Snowflake, are in high demand due to the platform's widespread adoption for cloud data warehousing and analytics. Skills in SQL, cloud computing, and data management increase employability in this field, with many organizations seeking professionals certified in Snowflake. The demand is expected to grow as data-driven decision-making becomes more central to business operations.

What are the key skills and qualifications needed to thrive as a SnowPro, and why are they important?

To thrive as a SnowPro (Snowflake Certified Professional), you need deep knowledge of data warehousing concepts, SQL, and the Snowflake cloud data platform, often validated by achieving Snowflake certification. Familiarity with data integration tools, cloud platforms (such as AWS, Azure, or GCP), and performance optimization techniques is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help in translating complex data requirements into actionable solutions. These competencies are crucial for designing, managing, and optimizing data architectures that drive business insights and value.

What are some common challenges faced by Snowpro professionals when implementing Snowflake solutions for clients?

Snowpro professionals often encounter challenges such as adapting Snowflake's cloud-native architecture to fit clients’ legacy systems, optimizing data migration to prevent downtime, and ensuring data security and compliance during transitions. Collaborating closely with cross-functional teams, including data engineers and business analysts, is essential to align technical solutions with organizational goals. Staying current with Snowflake's rapidly evolving features and best practices is also vital for delivering scalable and efficient data solutions.

What jobs pay $700 a day?

In the context of Snowpro or related IT roles, jobs such as senior data engineers, cloud architects, or cybersecurity consultants can pay around $700 per day, especially for contractors or freelance professionals with specialized skills and certifications. These roles often require extensive experience, technical expertise, and sometimes certification in cloud platforms or security. Compensation varies based on location, project scope, and demand for specific skills.
What cities in Virginia are hiring for Snowpro jobs? Cities in Virginia with the most Snowpro job openings:
Snowflake / DATA Solution Architect - McLean, VA -FTE

Snowflake / DATA Solution Architect - McLean, VA -FTE

Hexaware Technologies, Inc

Mclean, VA • On-site

Other

Re-posted 4 days ago


Job description

What Working at Hexaware Offers:

Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed.

Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profiles. We complete the circle with excellent growth opportunities, chances to collaborate with high-profile customers, opportunities to work alongside brilliant minds, and the perfect work-life balance.

Job Title: Data & AI Solution Architect - Snowflake

Location: McLean, VA /DC Area

Work mode: Hybrid (3 days onsite must)

Duration: FTE

Job Description

This is a hands-on Senior role at the intersection of data engineering, cloud architecture, and generative AI. You will serve as the primary technical authority on our Snowflake Data Cloud strategy designing scalable, secure, and cost-efficient data platforms that underpin enterprise analytics, operational reporting, and AI-native applications. You will get hands-on with complex architectural problems while influencing direction at the executive level.

Key Responsibilities:

  • Strategic planning and hands-on engineering of Snowflake/Big Data and cloud environments that supports our clients advanced analytics and data science initiatives.
  • Provide support in defining the scope and sizing of work
  • Working closely with various enterprise architects Information security teams, Data management team, to ensure the architected solution meets all the needs of a customer, from a functionality perspective and IT solution engineering perspective.
  • Lead designing all aspects of our data solution including artifact creation such as diagrams, playbooks and other technical documents.
  • Translate business requirements into technology solutions
  • Mentor and guide Jr. team members to deliver the solutions on time.
  • Create various architecture blueprints and work with the development team to deliver the vision.

Skills & Experience:

  • Overall, 10-15 years of experience in Solution Architecture, Data Management, Data Lake and Lakehouse design and development.
  • Snowflake (expert): Virtual warehouses, Snowpark, Cortex AI (LLM functions, vector search, Document AI, Cortex Guard), Dynamic Tables, Streams & Tasks, Data Sharing
  • Data modelling (expert): Data vault 2.0, Kimball dimensional, hybrid schemas; conceptual, logical, and physical design for analytics and AI workloads
  • dbt (advanced): Core and Cloud; modular transformation layer design, testing frameworks, and CI/CD integration with Snowflake
  • Python / Snowpark (proficient): Custom UDFs, ML pipelines, data transformation logic running natively inside Snowflake compute
  • RAG & GenAI (proficient): End-to-end pipeline design chunking, embedding, vector search, LLM integration, source citation, output validation
  • Cloud (advanced in one, working in others): AWS (S3, Glue, Step Functions), Azure (Data Factory, Key Vault, Synapse), Google Cloud Platform (Dataflow, Composer, BigQuery)
  • Data integration: Fivetran, Airbyte, Kafka, Snowpipe batch and streaming ingestion patterns at enterprise scale
  • Security & governance: RBAC, dynamic data masking, row-level security, column encryption, private link, SOX / GDPR / HIPAA compliance patterns
  • DevOps & IaC: Git, CI/CD for dbt and Snowflake (GitHub Actions, dbt Cloud), Terraform for infrastructure-as-code
  • Orchestration: Apache Airflow, Prefect, or Dagster in production dependency management, alerting, and retry patterns

Preferred Qualifications

  • SnowPro Core Certification (required within 90 days); SnowPro Advanced: Architect strongly preferred
  • AWS Certified Solutions Architect Professional, Azure Solutions Architect Expert, or Google Cloud Platform Professional Cloud Architect
  • Experience with Snowflake Native Apps Framework, Polaris Catalog, Unistore, or open table formats (Iceberg)
  • Familiarity with EU AI Act risk classification, NIST AI RMF, or ISO 42001 governance frameworks
  • Consulting or pre-sales solution architecture experience (client-facing delivery a significant plus)

Equal Opportunities Employer:

Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.