Job description
We are seeking a highly experienced Data Architect with a strong background in designing scalable data solutions and leading data engineering teams. The ideal candidate will have deep expertise in Microsoft Azure, ETL processes, and modern data architecture principles. This role involves close collaboration with stakeholders, engineering teams, and business units to design and implement robust data pipelines and architectures.
- Assessments of existing data components, Performing POCs, Consulting to the stakeholders
- Proposing end to end solutions to an enterprise’s data specific business problems, and taking care of data collection, extraction, integration, cleansing, enriching and data visualization
- Ability to design large data platforms to enable Data Engineers, Analysts & scientists
- Strong exposure to different Data architectures, data lake & data warehouse
- Design and implement end-to-end data architecture solutions on Azure cloud platform.
- Lead the design and development of scalable ETL/ELT pipelines using tools such as Azure Data Factory (ADF).
- Architect data lakes using Azure Data Lake Storage (ADLS) and integrate with Azure Synapse Analytics for enterprise-scale analytics.
- Collaborate with business analysts, data scientists, and engineers to understand data needs and deliver high-performing solutions.
- Define data models, metadata standards, data quality rules, and security protocols.
- Define tools & technologies to develop automated data pipelines, write ETL processes, develop dashboard & report and create insights
- Continually reassess current state for alignment with architecture goals, best practices and business needs
- DB modeling, deciding best data storage, creating data flow diagrams, maintaining related documentation
- Taking care of performance, reliability, reusability, resilience, scalability, security, privacy & data governance while designing a data architecture
- Apply or recommend best practices in architecture, coding, API integration, CI/CD pipelines
- Coordinate with data scientists, analysts, and other stakeholders for data-related needs
- Help the Data Science & Analytics Practice grow by mentoring junior Practice members, leading initiatives, leading Data Practice Offerings
- Provide thought leadership by representing the Practice / Organization on internal / external platforms
Qualificatons:
- 8+ years of experience in data architecture, data engineering, or related roles.
- Translate business requirements into data requests, reports and dashboards.
- Strong Database & modeling concepts with exposure to SQL & NoSQL Databases
- Expertise in designing and writing ETL processes in Python/PySpark
- Strong data architecture patterns & principles, ability to design secure & scalable data lakes, data warehouse, data hubs, and other event-driven architectures
- Proven expertise in Microsoft Azure data services, especially ADF, ADLS, Synapse Analytics.
- Strong hands-on experience in designing and building ETL/ELT pipelines.
- Proficiency in data modeling, SQL, and performance tuning.
- Demonstrated leadership experience, with the ability to manage and mentor technical teams.
- Excellent communication and stakeholder management skills.
- Proficiency in data visualization tools like Tableau, Power BI or similar to create meaningful insights.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Good to have:
- Azure certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect).
- Experience with modern data platforms, data governance frameworks, and real-time data processing tools.
Benefits:
- Imagine a flexible work environment – whether it’s the office, your home, or a blend of both. From interviews to onboarding, we embody a remote-first approach.
- You will be part of a global team, learning from top talent around the world and across cultures, speaking English everyday. Our global workforce enables our team to leverage global resources to accomplish our work in efficient and effective teams.
- We’re big on your well-being – as a company, we spend a whole trimester in our annual cycle focused on wellbeing. Whether it is taking advantage of fitness offerings, mental health plans (country-dependent), or simply leveraging generous time off, we want all of our team members operating at their best.
- Our professional services model enables us to accelerate career growth and development opportunities - across projects, offerings, and industries.
- We are an equal opportunity employer. It goes without saying that we live by values like Intrinsic Dignity and Open Collaboration to create cutting-edge technology AND reinforce our commitment to diversity - globally and locally.
- Join us and be a part of a global tech community! 🌍💼 Check out our Linkedin site and Careers page to learn more about what it’s like to be part of our #oneteam!
