Data Platforms Solutions Engineer

Data Platforms Solutions Engineer - Data EngineeringData Platforms Solutions Engineer - Data Engineering

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We are seeking an experienced Solutions Engineer specialized in Data Platforms to join our Solutions Engineering team. This role combines technical expertise with client-facing consultation to create tailored data solutions that address our clients' business needs. The ideal candidate will have extensive knowledge of modern data architectures, platforms, and tools, with a proven track record of designing solutions and responding to RFPs.

Key Responsibilities:

• Lead technical discovery sessions with clients to understand their data requirements, challenges, and objectives
• Design comprehensive data platform solutions that align with client needs, including:
• Modern data lakehouse architectures combining the flexibility of data lakes with the reliability of data warehouses
• Cloud-native data mesh designs for distributed domain-oriented data ownership
• Hybrid multi-cloud data architectures with appropriate governance and security controls
• Real-time streaming data pipelines integrated with batch processing workflows
• Semantic layer implementations that unify disparate data sources for consistent analysis
• Create and deliver compelling presentations and demos that showcase our data platform capabilities
• Develop proposals and respond to RFPs, focusing on technical solution sections
• Create detailed project plans, timelines, resource estimates, and team compositions for proposed solutions
• Evaluate and recommend appropriate technology stacks (cloud-based or open source) based on client requirements
• Build proof-of-concept demonstrations and prototypes to validate solution approaches
• Stay current with the latest trends, technologies, and best practices in data platforms
• Collaborate with sales teams as part of the Solutions Engineering organization to support the entire sales cycle, from initial engagement to contract signing
• Act as a trusted technical advisor to clients on data platform strategy and implementation

Requirements:

• 3-10 years of experience in data architecture, engineering, or related technical roles
• Proven experience responding to RFPs and contributing to successful sales proposals
• Excellent knowledge of modern data platform architectures including:
• Data Lakes (AWS S3, Azure Data Lake Storage, Google Cloud Storage)
• Data Warehouses (Snowflake, Redshift, BigQuery, Synapse)
• Lakehouse platforms (Databricks, Microsoft Fabric)
• Data Mesh architectures for domain-oriented data products
• Lambda and Kappa architectures for real-time and batch processing
• Hands-on experience with data formats such as Iceberg, Parquet, and Delta
• Proficiency with major data platform technologies including:
• Modern cloud data warehouses (Snowflake, AWS Redshift, Google BigQuery)
• Strong understanding of ETL/ELT tools and processes including Airbyte, Airflow, AWS Glue, and Azure Data Factory
• Ability to compare and contrast different data warehousing solutions and articulate their pros and cons in client-specific contexts
• Experience with both cloud-based and open-source data technologies
• Ability to create solution architectures at both conceptual and detailed technical levels
• Strong project planning skills, including resource estimation and timeline development
• Excellent presentation skills with the ability to communicate complex technical concepts to diverse audiences
• Outstanding interpersonal skills with a professional demeanor and client-facing presence

Day-to-Day Responsibilities Include:

• Evaluating client needs and determining optimal data platform solutions for specific industry use cases, such as:
• Retail analytics modernization using cloud data warehouses and real-time inventory dashboards
• Financial services risk analysis platforms with integrated ML capabilities
• Healthcare data integration solutions compliant with HIPAA and other regulations
• Manufacturing IoT data pipelines for predictive maintenance
• Media and entertainment content recommendation engines with personalized analysis
• Designing solution architectures across various cloud platforms (AWS, Azure, GCP) or open-source alternatives
• Drafting technical sections of RFP responses and sales proposals
• Creating project implementation plans with realistic timelines and milestones
• Developing resource models and team compositions for successful project delivery
• Building and delivering technical demonstrations to showcase solution capabilities
• Leading client workshops to gather requirements and present solution approaches

Ideal Candidate Profile

The ideal candidate is a technically proficient, articulate professional who can bridge the gap between business needs and technical solutions. You should be equally comfortable diving deep into technical details and presenting high-level concepts to executive stakeholders. You have a consultative approach to sales, focusing on understanding client challenges and designing appropriate solutions rather than pushing products.

What We Offer

• Opportunity to work with cutting-edge data technologies and diverse client challenges
• Collaborative team environment with other technical specialists
• Continuous learning and professional development in a rapidly evolving field
• Exposure to a wide range of industries and business use cases
• Competitive compensation and benefits package

If you're passionate about data platforms and enjoy the challenge of solving complex business problems through technical innovation, we want to hear from you.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionEngineering and Information Technology
• IndustriesIT Services and IT Consulting

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