Data Solutions Architect

Job title: Data Solutions Architect

About the Role We are seeking a Data Solutions Architect to join Merkle, a dentsu company, to drive enterprise analytics, BI and data science solutions and provide architectural leadership across projects. This is not a current open role; you can apply to be kept in the loop of future openings.

What You'll Do

• Provide thought leadership and drive architecture of Enterprise Analytics / BI and Data Science solutions to deliver scalable implementations using AWS/Azure and 3rd party BI platforms.
• Translate business goals and use cases into technical solutions to deliver actionable insights for sales, finance, e-commerce, manufacturing/logistics, banking or CRM.
• Become the technical SPoC for all stakeholders.
• Set architectural vision and direction across a matrix of teams.
• Propose a conceptual/logical design for data components and large data integrations.
• Apply governance methods for long-term scalability, high availability, fault tolerance, and elasticity aligned with enterprise architecture, security and infrastructure guidelines.
• Provide supervision and guidance to the implementation team (data engineers, data scientists, BI consultants) to ensure delivery per business requirements.
• Support pre-sales by proposing a technical solution and effort estimates.
• Maintain an internal framework to ensure consistent & optimal delivery across projects.
• Ensure full DevOps / DataOps automation of continuous development/test/deployment processes.

What We're Looking For

• Bachelor’s or Master’s Degree in a technology-related field (Engineering, Computer Science, IT, etc.).
• 3+ years experience in design and build of data solutions: Large-scale Data Lake / Data Warehouse; Big data pipelines / ETL / APIs; BI projects; Data Science oriented solutions.
• Understanding data concepts and patterns (Data Lake, Master Data Management, data quality, lambda architectures, streaming processing).
• Business acumen in sales, finance, e-commerce, manufacturing/logistics, banking or CRM.
• Proficient in architecture methodologies and tools (diagramming with draw.io, Sparx EA, Confluence) and standards (Archimate, TOGAF).
• Experience with full software development lifecycle (CI/CD) and development skills in Python/Java/Scala/C++ and relational/NoSQL databases.
• Strong analytical and problem-solving skills; strong technical leadership, mentorship and collaboration; strong project management and organizational skills.

Nice to Have

• Data Lake / Datalakehouse implementations in AWS or Azure (DataBricks, Data Factory, Data Lake, Cosmos DB, Event Hub, PowerBI, etc.) or AWS services (Glue, EC2, EMR, RDS, Redshift, Sagemaker).
• Understanding of Data Science concepts from business and technical perspectives.
• ERP solutions like SAP, NetSuite.
• Marketing, e-commerce and CRM solutions like Salesforce, Adobe, Google (GA, BigQuery).

Compensation & Benefits

• 5 weeks of vacation + 3 wellness days; 2 volunteering days; Flexible working hours and home office; Fully covered certifications; Full access to Dentsu Academy; Pet-friendly offices; Meal/cafeteria points; Team events; Snacks and drinks; Referral bonus; Laptop and equipment; Corporate mobile phone subscription.