Data Solutions Architect

Key Skills

Aartificial intelligence, Amazon RedShift, Amazon Simple Storage Service (S3), Analytical and Problem solving, AWS, AWS Sagemaker, Azure, Data management, Data Warehousing, Effective communication skills, English Proficiency, ETL/ELT technologies, Google BigQuery, Google Cloud Platform (GCP), Machine learning techniques, NumPy, Python Programming, PyTorch, Scikit-learn, Software Development, SQL, TensorFlow

Job Description

Technology Office designs and executes industry-relevant inventions that allow organizations to realize exceptional business value from technology. We are looking for an energetic and passionate Data Solutions Architect who can bring their experience and knowledge to our Technology Office team. As a Data Solutions Architect, you will play a crucial role in designing and implementing data solutions for our clients. 

Responsibilities:

• Serve as a primary technical associate of the business improvement team in assisting customer success in creating data analytics solutions.
• Lead engagement with potential clients to design software solutions (architecture) during the sales process to understand their business goals, data requirements, and technical constraints, and translate them into comprehensive data solution designs.
• Conduct in-depth analysis of existing data systems, identify areas for improvement, and provide recommendations for architectural enhancements.
• Design end-to-end data architectures, including data ingestion, storage, processing, integration, and visualization, to meet clients' specific business needs.
• Develop data models, data flows, and data integration strategies to ensure seamless and efficient data management across various systems and platforms.
• Provide guidance and technical expertise to development teams in implementing data solutions, ensuring compliance with best practices and industry standards.
• Perform data profiling, data quality assessments, and data governance activities to ensure data accuracy, integrity, and security.
• Collaborate with data scientists and analysts to enable advanced analytics and data-driven insights through the implementation of appropriate data structures and algorithms.
• Stay up-to-date with emerging trends, technologies, and industry best practices in data architecture, analytics, and cloud computing, and provide thought leadership to the team.
• Act as a trusted advisor to clients, providing strategic recommendations and guidance on data-related initiatives.

Requirements

• Experience in customer-facing, advising, and consulting
• Proven experience (2+ years) working as a Data Solutions Architect or a similar role in a consulting environment.
• At least 8 years experience in IT with a focus on Data Engineering.
• Energetic team player who works well across boundaries and readily adapts to change and enjoys rapid development
• Excellent analytical and problem-solving skills, with the ability to understand complex business requirements and translate them into practical data solutions.
• Strong communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders.
• Demonstrated ability to work in a collaborative team environment and manage multiple projects simultaneously.
• Relevant certifications (e.g., AWS Certified Data Analytics Specialty, Microsoft Certified: Azure Data Engineer) are highly desirable.
• Experience with various kinds of models including but not limited to C4, 4+1
• Hands on experience documenting solution architecture and detailed designs
• Extensive knowledge of relational and non-relational databases, data warehouses, ETL/ELT processes, and data management tools.
• Familiarity with cloud platforms, such as AWS, Azure, or Google Cloud, and their data services (e.g., S3, Redshift, BigQuery).
• Conversational English level (B2+)
• Software development-related degree or equivalent in education or experience

We offer:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Paid vacation days, sick leaves, and days off
• Healthcare & Sport program
• Medical insurance
• Memorable anniversary presents
• Corporate events and team buildings.