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). 

• 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: Databricks, Snowflake, Kafka, Hadoop, Apache Spark

• Data Pipeline Tools: Azure Data Factory, Airflow 

• Business Intelligence Tools:  Power BI, SSAS, Tableau 

• Cloud Services: Azure

• 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.