Senior Data Engineer - Snowflake SME

EY
Austin, US
HybridCareer-pivot friendly

Why this role

Pace
Fast Paced
The fast-paced nature of this role is evident from the requirement to continuously develop and optimize Snowflake SQL queries and stored procedures, ensuring that SAP workloads are supported efficiently.
Collaboration
High
Collaboration is a key aspect, as evidenced by the need to work closely with data architects, engineers, and business teams to meet performance, security, and compliance requirements.
Autonomy
Medium
This position offers a high level of autonomy, as the individual will be responsible for managing Snowflake account configurations and implementing best practices for data partitioning and clustering.
Decision Impact
Team
Decisions made in this role significantly impact the performance and cost-efficiency of the data platform, as seen in the responsibility to implement best practices for data partitioning and caching.
Role Level
Individual Contributor
The complexity of the role is high, given the need to integrate Snowflake with multiple cloud-native services and data platforms, and to enforce data governance and compliance policies.
Career Pivot Friendly
Welcomes transferable skills
Individuals with experience in data warehousing and cloud platforms, particularly those familiar with SAP systems, will find this role a natural progression and a valuable opportunity to deepen their expertise.

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • successful data platform integration
  • positive client feedback
Typical background
9+ years in data warehousing5+ years of hands-on Snowflake experience

Transferable backgrounds

  • Coming from Data Engineer at a tech company
    data warehousing · cloud platforms
    Experience in data warehousing and cloud platforms will directly translate to the responsibilities of designing and optimizing Snowflake architectures.
  • Coming from Consultant specializing in SAP integration
    SAP data integration · data governance
    A background in SAP integration and data governance will be highly beneficial in ensuring seamless data migration and compliance.
  • Coming from Cloud Solutions Architect
    cloud ecosystems · data orchestration
    Familiarity with cloud ecosystems and data orchestration tools will enable the individual to effectively integrate Snowflake with various cloud services.

Skills & requirements

Required

Snowflake Data WarehouseSAP BDC IntegrationSQLData ModelingCloud Ecosystems

Preferred

SAP MigrationDevOpsSnowpro Core Certification

Stack & domain

SnowflakeSAP BDCSAP DatabricksDatabricksAzure Data FactorySnowflake SQLSnowflake Stored ProceduresSnowflake Data Transformation LogicSnowflake Account ConfigurationsSnowflake Resource MonitorsSnowflake Virtual WarehousesSnowflake Access ControlsSnowflake Time TravelSnowflake Zero Copy CloningSnowflake StreamsSnowflake TasksSAP Data TypesSAP MigrationBDC Data ProjectsAgileDevOpsAutomationPipeline DeploymentCloud EcosystemsAzureAWSGCPData Orchestration ToolsADFAirflowData Modeling PrinciplesEnterprise Data WarehousesData SecurityRole-based Access ControlRBACComplianceSnowpro Core CertificationCloud CertificationsCommunicationCollaborationTeamworkProblem SolvingLeadershipProject ManagementClient ManagementContract ManagementMotivationEnthusiasmEntrepreneurshipTech-savvy

About the role

This role is ideal for a seasoned data engineer who excels in architecting and optimizing Snowflake data warehouse solutions, particularly in integrating with SAP systems, and is passionate about staying at the forefront of cloud data platforms.

Original posting from EY via LinkedIn

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

As a Snowflake Subject Matter Expert (SME) you will be responsible for architecting, developing, and optimizing data warehouse and lakehouse solutions using the Snowflake platform and integrating into SAP BDC.

Your expertise will be crucial in enabling the SAP BDC team to build a modern, scalable data platform that integrates SAP data with cloud-native services from Microsoft, Nvidia, Databricks, AWS, and Google.

You will collaborate closely with data architects, engineers, and business teams to ensure data ingestion, storage, and access solutions on Snowflake meet performance, security, and compliance requirements supporting enterprise SAP data migration and analytics.

Your Key Responsibilities

  • Design and implement Snowflake data warehouse and lakehouse architectures aligned with SAP data migration strategies.
  • Develop and optimize Snowflake SQL queries, stored procedures, and data transformation logic to support SAP workloads.
  • Manage Snowflake account configurations, resource monitors, virtual warehouses, and access controls.
  • Integrate Snowflake into SAP BDC, SAP Databricks and Databricks
  • Integrate Snowflake with SAP data sources and other data platform components, including Databricks, Azure Data Factory, and cloud storage.
  • Implement best practices for data partitioning, clustering, and caching to optimize performance and cost-efficiency.
  • Participate in data ingestion automation, metadata management, and monitoring within Snowflake environments.
  • Collaborate with security teams to enforce data governance, encryption, and compliance policies in Snowflake.
  • Support CI/CD and automation of Snowflake deployment and pipeline orchestration.
  • Provide knowledge transfer and technical guidance to team members and clients.
  • Stay updated on Snowflake innovations and new features relevant to SAP data platforms.

Skills And Attributes For Success

  • Deep expertise in Snowflake data warehouse platform, including performance tuning and cost optimization.
  • Strong SQL skills and experience with Snowflake-specific features such as Time Travel, Zero Copy Cloning, Streams, and Tasks.
  • Experience with integration into SAP BTP, BDC and Hana DB
  • Familiarity with SAP data types, structures, and migration tools for seamless integration with Snowflake.
  • Experience with cloud ecosystems (Azure, AWS, GCP) and data orchestration tools (ADF, Airflow).
  • Understanding of data security, role-based access control (RBAC), and compliance in Snowflake.
  • Knowledge of data modeling principles for enterprise data warehouses.
  • Excellent communication and collaboration skills to work with global SAP and data teams.

Other Requirements:

  • Experience working on SAP migration or BDC data projects is preferred.
  • Agile and DevOps experience with automation and pipeline deployment.
  • Certifications like SnowPro Core Certification or relevant cloud certifications are desirable.
  • Willingness to work in distributed teams and coordinate across time zones.

Job Requirements:

Education:

BS/MS in Computer Science, Data Engineering, Information Systems, or a related field.

Experience:

9+ years in data warehousing and cloud data platforms with 5+ years of hands-on Snowflake experience.

What We Offer You

The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges. At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

  • We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $87,200 to $163,000. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $104,600 to $185,300 . Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
  • Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year.
  • Under our flexible vacation policy, you’ll decide how much vaca

Source: EY careers (LinkedIn)

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