SolutionArchitectClientFacing(Snowflake,DataEngineering&SAP)

  • Dallas, TX
  • Posted 14 hours ago | Updated 14 hours ago

Overview

Hybrid
$140,000 - $160,000
Full Time
Able to Provide Sponsorship

Skills

snowflake
databricks
SAP

Job Details

Fulltime

Hybrid role at Dallas,TX

Job Description: Solution Architect Client Facing (Snowflake, Data Engineering & SAP)

Position Overview

We are seeking a Solution Architect with 7-10 years of client-facing experience in Snowflake and Data Engineering, combined with strong proficiency in SAP data integration. The ideal candidate will design and implement scalable, cloud-based data solutions while working closely with enterprise clients to integrate SAP data into Snowflake. Candidates should have hands-on experience with SAP data extraction, ETL/ELT pipelines, and cloud data architectures, along with a solid understanding of SAP ERP (ECC, S/4HANA), SAP BW, and SAP HANA. Some exposure to manufacturing data systems is a plus.

Key Responsibilities

1. Client Engagement & Solution Design

  • Act as a trusted advisor to clients in defining data modernization strategies for SAP and Snowflake.
  • Conduct technical discovery sessions to understand SAP data structures, integration needs, and business goals.
  • Design and implement end-to-end data pipelines for SAP-to-Snowflake migration and analytics.
  • Provide guidance on data security, governance, and performance optimization.

2. SAP Data Integration & Implementation

  • Extract, transform, and load (ETL/ELT) SAP data from SAP ERP (ECC, S/4HANA), SAP BW, and SAP HANA into Snowflake.
  • Work with SAP tools such as BODS, SDI/SDA, CDS Views, and OData services for efficient data movement.
  • Implement best practices for SAP data modeling, partitioning, and query optimization in Snowflake.
  • Assist in migrating SAP BW and legacy SAP reporting systems to cloud-based architectures.
  • Enable real-time and batch data streaming from SAP to Snowflake using cloud-native services.


3. Cloud Data Engineering & Architecture

  • Design and optimize Snowflake-based data architectures integrated with SAP and cloud platforms (AWS, Azure, Google Cloud Platform).
  • Build scalable ETL/ELT pipelines using dbt, Talend, Informatica, or Apache Airflow.
  • Ensure data consistency, governance, and compliance while handling large-scale SAP datasets.
  • Collaborate with cross-functional teams to define Snowflake data lake/warehouse strategies.

4. Pre-Sales & Client Management

  • Support sales teams in pre-sales engagements, solution demos, and proof-of-concept (PoC) development.
  • Develop and present technical proposals, architecture diagrams, and roadmaps for SAP-Snowflake integration.
  • Build strong long-term client relationships, guiding them through data transformation initiatives.

5. Collaboration & Continuous Improvement

  • Stay updated with SAP, Snowflake, and cloud data advancements.
  • Contribute to internal knowledge-sharing, training, and technical documentation.
  • Work with engineering teams to enhance data processing and analytics capabilities.

Required Skills & Experience

  • 7-10 years in solution architecture, data engineering, or cloud data platforms.
  • Strong proficiency in SAP ERP (ECC, S/4HANA), SAP BW, and SAP HANA, particularly in data extraction and integration.
  • Hands-on experience with SAP ETL tools like BODS, SAP Data Intelligence, or third-party ETL tools for SAP integration.
  • Expertise in Snowflake, including data modeling, security, performance tuning, and Snowpark.
  • Experience migrating SAP workloads from on-premise systems to Snowflake or cloud data platforms.
  • Proficiency in SQL, Python, or Scala for data transformation and automation.
  • Knowledge of cloud platforms (AWS, Azure, Google Cloud Platform) and their data services (S3, Azure Data Lake, BigQuery, etc.).
  • Excellent communication and stakeholder management skills, with the ability to present technical concepts to non-technical teams.

Preferred Qualifications

  • Experience with SAP integration into Snowflake, Databricks, or other cloud-based data lakes.
  • Exposure to manufacturing data systems (MES, SCADA, IoT analytics, supply chain systems) is a plus.
  • Familiarity with BI tools (Tableau, Power BI, SAP Analytics Cloud) for reporting on SAP data in Snowflake.
  • Snowflake certifications (e.g., SnowPro Core, SnowPro Advanced).
  • Understanding of data governance, compliance, and regulatory standards
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