DescriptionThe Data Architect is responsible for designing governing and optimizing an organizations data architecture with a primary focus on treating data as a strategic asset. This role ensures that data is accurate accessible secure interoperable and aligned with business goals. The Data Architect works across business technology and analytics teams to create data models / data product standards and architectures that empower advanced analytics AI automation and digital transformation.
ResponsibilitiesoData Strategy and Architecture Design:Developing and optimizing database models and overall data architecture to store and retrieve company information efficiently. This includes creating blueprints for developing testing and maintaining databases.
oTranslating Business Requirements:Collaborating with business leaders and teams to translate information requirements into data-centric solutions including databases data warehouses and data streams.
oData Modelling and Management:Designing conceptual and logical data models and flowcharts defining database structures and creating procedures to ensure data accuracy and accessibility.
oEnsuring Data Quality Integrity and Security:Focusing on improving data quality accessibility and security across all systems and platforms. This involves defining security and backup procedures and ensuring compliance with data regulations like GDPR and data governance guidelines.
oSystem Implementation and Optimization:Installing and configuring information systems migrating data from legacy systems to new solutions and improving system performance through testing troubleshooting and integrating new elements.
oCollaboration and Coordination:Working closely with product mangers product owners software developers and other IT teams to implement data-related solutions and realize end-to-end data strategies.
oTechnology Evaluation:Evaluating and recommending new technologies to enhance data management and supporting data analytics AI solutions and business intelligence projects with a well-designed data landscape.
oAdherence to Standards:Ensuring that industry-accepted data architecture principles and standards are integrated and followed for modelling stored procedures replication regulations and security.
Qualificationso
oBachelors degree in Computer Science Information Systems Data Management or related field.
o8-12 years of experience in data architecture data engineering or database development.
oExpertise in database technologies (SQL NoSQL) data mining and programming languages like Python Scala Java.
oProficiency in data modelling (Canonical Data Model Semantic Data Model) and schema design.
oFamiliarity with ETL (Extract Transform Load) tools and processes for efficiently transforming and loading data.
oHands-on experience with cloud data platforms (GCP/Azure/AWS) and modern data processing tools.
oSolid understanding of data governance data quality metadata management and master data management(MDM) referenced data management transactions data management.
oExperience with data lakehouse architectures data mesh or data fabric.
oFamiliarity with structural and non structural like big data tools (Hadoop/Spark Kafka Databricks Big Query).
oExperience supporting AI/ML workloads with high-quality data structures.
oStrong analytical and problem-solving abilities.
oExcellent communication and stakeholder management skills.
oAbility to create clear architecture artifacts and documentation.
oAdaptability and a commitment to continuous learning to stay updated with evolving technologies.
oGood To have
oMasters degree or relevant certifications (GCP Data Engineer/Azure/AWS Data Architect TOGAF).
oExposure to GCP data service like (Postgres Big Query etc.)
oExposure in Automative Industry.
Job Location:
Monthly Salary:
Posted on:
5 days ago
Vacancies:
1 Vacancy
