Data Architect

Important Information

• Experience: 7–10+ years
• Job Mode: Full-time
• Work Mode: Hybrid

Job Summary

• Assemble large, complex datasets that meet functional and non-functional business requirements.
• Plan, create, and maintain data architectures aligned with business goals.
• Create and maintain optimal data pipeline architecture, focusing on automation and scalability.
• Identify, design, and implement internal process improvements, including automation of manual processes and optimization of data delivery.
• Propose infrastructure for optimal extraction, transformation, and loading (ETL) of data from diverse sources using SQL and Big Data technologies.
• Continuously audit data management systems to ensure performance, address breaches or gaps, and report findings to stakeholders.
• Recommend analytics tools to generate actionable insights into business performance metrics, including customer acquisition and operational efficiency.
• Collaborate with stakeholders (executives, product teams, and data teams) to resolve technical issues and support data infrastructure needs.
• Build and maintain strong relationships with senior stakeholders to help them leverage Big Data technologies for business solutions.

Responsibilities and Duties

• Assemble, optimize, and maintain large datasets tailored to business needs.
• Design and implement scalable, high-quality data architectures and pipelines.
• Automate workflows, optimize performance, and ensure scalability in infrastructure design.
• Conduct continuous performance audits of data systems and implement improvements as needed.
• Design tools to deliver actionable insights for business intelligence and analytics.
• Collaborate with cross-functional teams to address technical issues and enhance data operations.
• Support data migrations, including integration with platforms like MS Dynamics CRM or SharePoint.
• Actively participate in Agile delivery frameworks (Scrum, DSDM) to ensure quality results.

Qualifications and Skills

• Education: BS/MS in Computer Science, Engineering, Information Technology, or related field with programming experience.
• Proven experience (7–10+ years) in engineering, database modeling, design, and architecture for large-scale analytics projects.
• Expertise in SQL and relational database management, as well as Big Data technologies (Apache Spark, Databricks, Kafka, Hadoop).
• Deep knowledge of modern data architectures (e.g., Lambda architecture, Streaming, Delta Lake).
• Experience with data pipeline tools (Azure Data Factory, Airflow) and Business Intelligence tools (SSAS, Power BI, Tableau).
• Familiarity with cloud services (Azure, AWS).
• Proficiency in programming languages such as Python, R, C#, or Java.
• Knowledge of Data Science, Machine Learning, and Artificial Intelligence trends.
• Strong understanding of industry best practices in data design, integration, and architecture.
• Experience working with Agile methodologies (Scrum, DSDM).
• Excellent English communication skills, both written and spoken.

Role-specific Requirements

• Extensive experience building and optimizing Big Data pipelines and architectures.
• Knowledge of Business Intelligence, analytics, and reporting technologies.
• Experience with data migrations and platforms such as MS Dynamics CRM and SharePoint.
• Strong knowledge of data trends, modern architectures, and scalable design.
• Customer-centric approach to explain technical concepts to non-technical stakeholders.
• Strong communication and collaboration skills in an international and virtual team setting.
• Proven ability to deliver quality results and foster strong client relationships.

Technologies

• Big Data: Apache Spark, Databricks, Snowflake, Kafka, Hadoop
• Data Pipeline Tools: Azure Data Factory, Airflow
• Business Intelligence Tools: SSAS, Power BI, Tableau
• Cloud Services: Azure, AWS
• Programming Languages: Python, R, C#, Java

Skillset Competencies

• Advanced SQL and Big Data pipeline optimization.
• Expertise in modern data architectures and ETL processes.
• Strong data migration and integration experience.
• Proficiency in analytics and reporting technologies.
• Excellent problem-solving, negotiation, and communication skills.
• Ability to work effectively in cross-functional, international teams.
• Strong client relationship management and quality delivery focus.

 About Encora

Encora is a trusted partner for digital engineering and modernization, working with some of the world’s leading enterprises and digital-native companies. With over 9,000 experts in 47+ offices worldwide, Encora offers expertise in areas such as Product Engineering, Cloud Services, Data & Analytics, AI & LLM Engineering, and more. At Encora, hiring is based on skills and qualifications, embracing diversity and inclusion regardless of age, gender, nationality, or background.