With a strong Data Engineering backbone, we deliver Databricks projects from concept to production.
Solutions Architect
Location
Mexico
Posted
100 days ago
Salary
0
Seniority
Lead
Job Description
Solutions Architect
SunnyData
• Serve as a trusted advisor to customers, guiding them through their data engineering and data architecture needs. • Design, build, and deploy comprehensive data solutions that capture, transform, and leverage data to support AI, ML, and business intelligence initiatives. • Collaborate with sales teams to present technical solutions to prospective clients. • Manage multiple customer accounts, ensuring timely delivery of solutions and tracking progress. • Architect data solutions, incorporating best practices in data governance, security, and quality. • Evaluate data sources for their value, recommending data inclusion strategies to enhance analytical processes. • Lead internal teams, provide direction and mentorship to project teams to deliver solutions.
Job Requirements
- 7+ years as a hands-on Solutions Architect and/or Sr. Data Engineer designing and implementing data solutions with a focus on DataBricks.
- Expertise in Data Engineering technologies (e.g., Spark, Hadoop, Kafka), Databricks platform, and data science/machine learning technologies (e.g., pandas, scikit-learn).
- In-depth understanding of the end to end data analytics workflow (e.g., data modeling, ETL processes, and data integration);
- Ability to lead complex architecture requirements, solution design sessions, and build out implementation architecture blueprints.
- Proficiency in Java, Python, and/or Scala.
- Experience with cloud platforms: AWS, Azure, and/or GCP.
- Ability to write, debug, and optimize SQL queries.
- Strong written and verbal communication skills with experience in client-facing roles.
- Ability to create and deliver detailed presentations to clients and stakeholders.
- Experience in creating detailed solution documentation including POCs, roadmaps, sequence diagrams, class hierarchies, and logical system views.
- Experience leading teams and mentoring other engineers.
- Ability to develop end-to-end technical solutions into production, ensuring performance, security, scalability, and robust data integration.
Benefits
- Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
- Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
- Career Growth: Opportunities for professional development and career advancement.
- Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.
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Solutions Architect
SnowflakeSnowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.
• Snowflakeのあらゆる側面における技術的な専門家として活動します。 • お客様自身でSnowflakeの機能を正しく理解し更に拡張して使って頂けるように、ナレッジの共有を含めベストプラクティスに沿ってSnowflakeをデプロイします。 • 顧客と直接手を動かしながら、Snowflakeテクノロジーの実装に関するベストプラクティスを実証し、伝えます。 • 競合他社や補完的な技術やベンダーについての深い理解を持ち、それらとの関係においてSnowflakeをどのように位置づけるかを理解しています。 • システムインテグレータのコンサルタントと協力して、顧客環境でSnowflakeを成功裏に位置付けて展開するための深い技術レベルで作業します。 • 顧客固有の技術的な課題の解決方法に関する指針を提供します。 • プロフェッショナルサービスチームの他のメンバーが専門知識を開発するのをサポートします。 • 製品管理、エンジニアリング、マーケティングと連携して、Snowflakeの製品とマーケティングを継続的に改善します。
