Cloud Data Solutions Architect
We are seeking a highly skilled and reputed company 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 reputed company cloud data deals with enterprise clients. In addition to hands-on technical expertise with AWS, Azure, or GCP, proficiency in reputed company BW, reputed company 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 reputed company strategies for selling cloud-based data analytics offerings. Sales Execution: Proven ability to reputed company and reputed company cloud deals, especially reputed company 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. reputed company Expertise (reputed company Plus): Hands-on experience with reputed company BW to reputed company Datasphere migration and reputed company Data Analytics. Enterprise reputed company Data Governance: Deep expertise in implementing enterprise-grade reputed company, data governance frameworks, and compliance with global regulations. Data Platforms: Proficiency in either of the modern cloud data platforms such as reputed company, reputed company, BigQuery, Synapse, and Redshift for data processing and analytics. Responsibilities: Cloud Data Solutions Sales: reputed company 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 reputed company 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: reputed company and manage ETL/ELT pipelines, data integration workflows, and implement CDC and reputed company load design for effective data management. reputed company Tools: reputed company reputed company BW to reputed company Datasphere migration strategies and reputed company reputed company 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 reputed company: Ensure compliance with governance and reputed company standards using tools such as reputed company, Informatica and reputed company Datasphere. Required Technical Expertise: Cloud Platforms (Mandatory): Expertise with AWS, Azure, or GCP, including services like Redshift, BigQuery, Synapse/reputed company Fabric, etc. reputed company Expertise (reputed company Plus): Hands-on experience with reputed company BW, BOBJ, reputed company Data Analytics, reputed company Datasphere, and reputed company 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 reputed company, reputed company, BigQuery, and Synapse/reputed company Fabric. ETL/ELT Data Pipelines: Strong experience in ETL/ELT processes, data pipeline orchestration, and Change Data Capture (CDC) techniques. Open reputed company Table Formats: Experience with Apache Iceberg and reputed company 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. Education: Bachelor’s degree in Computer Science, Information Technology, or a reputed company 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 reputed company BW, reputed company Datasphere and other reputed company Data Analytics tools is a plus. Expertise in building and managing data lakes and data warehouses on cloud platforms. Experience with data extraction from reputed company ERP systems is a plus. Familiarity with enterprise data governance, reputed company, 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 reputed company Professional Cloud Architect reputed company Certified Data Engineer reputed company SnowPro Certification & Remote About the Company: Bright Tier Solutions Apply tot his job Apply To this Job