Job Type
Full-Time Regular

Job Description

Required Technical Expertise:

  • Cloud Platforms (Mandatory): Expertise with AWS, Azure, or GCP, including services like Redshift, BigQuery, Synapse/Microsoft Fabric, etc.
  • SAP Expertise (Huge Plus): Hands-on experience with SAP BW, BOBJ, SAP Data Analytics, SAP Datasphere, and SAP BW to Datasphere migration.
  • Legacy to Cloud Migration: Experience with legacy data platform migrations to modern cloud platforms such as AWS, Azure, and GCP.
  • Data Platforms: Proficiency in Databricks, Snowflake, BigQuery, and Synapse/Microsoft Fabric.
  • ETL/ELT & Data Pipelines: Strong experience in ETL/ELT processes, data pipeline orchestration, and Change Data Capture (CDC) techniques.
  • Open Source Table Formats: Experience with Apache Iceberg and Delta Lake for large-scale data lake management.
  • Data Modeling: Knowledge of Data Vault, Data Mesh, and other advanced modeling techniques.
  • Programming & Scripting: Proficiency in Python, SQL, and relevant languages.
Qualifications:

Education:
  • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master degrees are a plus.
Experience:
  • 15+ years as a Data Solutions Consultant or Pre Sales Data Engineer or in a cloud data architecture role.
  • Experience with AWS, Azure, or GCP, and proficiency in cloud-native tools such as AWS Glue, DMS, Kafka, Azure Data Factory, GCP Dataflow.
  • Experience in SAP BW, SAP Datasphere and other SAP Data Analytics tools is a plus.
  • Expertise in building and managing data lakes and data warehouses on cloud platforms.
  • Experience with data extraction from SAP ERP systems is a plus.
  • Familiarity with enterprise data governance, security, and compliance requirements.
  • Experience with data platforms such as Apache Spark, or Hadoop is a plus.
  • Experience with CI/CD pipelines and DevOps practices for data engineering.
  • Experience on building end to end proposals(including estimation, resourcing, high level solution arch) for customers for migration
  • Working with account managers/BDMs as Overlay sales or similar roles or consulting roles.
  • Managed Quota and driving opportunities from discovery, proposal, SOW to closure.
Certifications preferred (not mandatory) in cloud platforms:
  • AWS Certified Solutions Architect
  • Azure Solutions Architect Expert
  • Google Professional Cloud Architect
  • Databricks Certified Data Engineer
  • Snowflake SnowPro Certification
We are seeking a highly skilled and experienced Cloud Data Solutions Architect with a strong background in consulting, sales, and commercial strategy to join our dynamic team. This role is ideal for a cloud solutions sales professional specializing in data analytics offerings who can serve as an overlay sales for our core sales team. The ideal candidate will have experience in building proposals, responding to RFPs, and drafting SOWs, as well as a track record in closing complex cloud data deals with enterprise clients. In addition to hands-on technical expertise with AWS, Azure, or GCP, proficiency in SAP BW, SAP Datasphere migration strategies and experience with legacy data platform to modern cloud platform migration is highly desirable.

Key Expertise:
  • Consulting & Commercial Strategy: Ability to provide consulting solutions and commercial proposals to develop strategies for selling cloud-based data analytics offerings.
  • Sales Execution: Proven ability to develop and close cloud deals, especially within the enterprise data platform space.
  • Proposals, RFPs, and SOWs: Experience in building comprehensive proposals, responding to RFPs, and crafting SOWs to meet customer requirements.
  • Cloud Platforms (Mandatory): Expertise in AWS, Azure, or GCP is required for cloud architecture and data strategy development.
  • SAP Expertise (Huge Plus): Hands-on experience with SAP BW to SAP Datasphere migration and SAP Data Analytics.
  • Enterprise Security & Data Governance: Deep expertise in implementing enterprise-grade security, data governance frameworks, and compliance with global regulations.
  • Data Platforms: Proficiency in either of the modern cloud data platforms such as Databricks, Snowflake, BigQuery, Synapse, and Redshift for data processing and analytics.
Responsibilities:
  • Cloud Data Solutions Sales: Lead sales engagements to position cloud data solutions for enterprise clients, supporting BDMs and sales teams.
  • Proposals, RFPs, and SOWs: Spearhead the creation of proposals, respond to RFPs, and develop SOWs that align with customer needs and business strategies.
  • Cloud Architecture: Design and implement scalable, cost-effective architectures across AWS, Azure, or GCP environments.
  • Data Engineering: Develop and manage ETL/ELT pipelines, data integration workflows, and implement CDC and delta load design for effective data management.
  • SAP Tools: Lead SAP BW to SAP Datasphere migration strategies and leverage SAP Data Analytics for cloud solutions.
  • Legacy Data Platform Migration: Design and execute legacy data platform to modern cloud platform migration strategies, ensuring minimal disruption and optimal performance.
  • Collaboration: Work closely with clients and internal stakeholders to deliver tailored, high-value data solutions.
  • Data Governance & Security: Ensure compliance with governance and security standards using tools such as Collibra, Informatica and SAP Datasphere.
Qualifications:

Education:
  • Bachelor’s degree in Computer Science, Information Technology, or a related field. Master degrees are a plus.
Experience:
  • 15+ years as a Data Solutions Consultant or Pre Sales Data Engineer or in a cloud data architecture role.
  • Experience with AWS, Azure, or GCP, and proficiency in cloud-native tools such as AWS Glue, DMS, Kafka, Azure Data Factory, GCP Dataflow.
  • Experience in SAP BW, SAP Datasphere and other SAP Data Analytics tools is a plus.
  • Expertise in building and managing data lakes and data warehouses on cloud platforms.
  • Experience with data extraction from SAP ERP systems is a plus.
  • Familiarity with enterprise data governance, security, and compliance requirements.
  • Experience with data platforms such as Apache Spark, or Hadoop is a plus.
  • Experience with CI/CD pipelines and DevOps practices for data engineering.
  • Experience on building end to end proposals(including estimation, resourcing, high level solution arch) for customers for migration
  • Working with account managers/BDMs as Overlay sales or similar roles or consulting roles.
  • Managed Quota and driving opportunities from discovery, proposal, SOW to closure.
Certifications preferred (not mandatory) in cloud platforms:
  • AWS Certified Solutions Architect
  • Azure Solutions Architect Expert
  • Google Professional Cloud Architect
  • Databricks Certified Data Engineer
  • Snowflake SnowPro Certification
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