Cloud Data Solutions Architect

JAMY INTERACTIVE

Full Time

Experience: 15 years

Location: London

Salary: £66,581 - £75,581 GBP Per Year

Job Description

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 Duties:

  • 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.

Key Skills:

  • 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.

Experiance Qualifications:

  • 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.

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

Benefits:

Training, health, insurance, commuting support, lunch service etc.