Azure Data Architect (NA) at Hitachi Solutions

pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

12 May, 26

Salary

0.0

Posted On

11 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Data Architect, Data Solutions, Data Lakes, Data Warehouses, ETL, Data Governance, Data Privacy, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Data Modeling, Power BI, Python, SQL, Spark

Industry

IT Services and IT Consulting

Description

Company Description Company Description Our culture is defined by our values and our deep commitment to help our clients succeed. We are a division of the 38th largest company in the world and bring to bear the strength of a very large network of interconnected Hitachi companies. At the same time we remain absolutely committed to the nimble agility that helped us grow Hitachi Solutions from three founding partners to nearly 2,000 consultants, developers and support personnel all around the globe. Hitachi Solutions is a leader in providing industry solutions based on Microsoft Dynamics AX and Microsoft Dynamics CRM. Hitachi Solutions provides its customers with industry focus, software industry domain expertise, and proven tier-1 people. Hitachi Solutions works with its customers to understand their unique formula for success and develops solutions that improve their business and attain measurable results.2011, 2009, 2006 & 2005 Microsoft Dynamics Partner of the Year (Finalist 2008, 2007). Microsoft Global Dynamics Award (Global Dynamics Partner of the year) 2014. Hitachi Solutions is a core IT company of the Hitachi Group, which employs some 400,000 people worldwide. Through systems integration, we provide ideal solutions and products for customers. Headquartered in Tokyo, Japan, Hitachi Solutions' reach extends to group companies in Japan and abroad, working with a worldwide network of alliance partners. We bring solutions and products to diverse countries and regions including Asia, the United States and Europe. The flagship company in the Hitachi Group's information and communication system solutions business, Hitachi Solutions also offers solutions for social innovation such as smart cities. For more information on Hitachi Solutions, please visit: https://web.hitachi-solutions.com Job Description JD Title : Azure Data Architect Experience level : 8 Years to 14 Years Requirements: Design and implement end-to-end data solutions on Microsoft Azure, including data lakes, data warehouses, and ETL/ELT processes. Develop scalable and efficient data architectures that support large-scale data processing and analytics workloads. Ensure high performance, security, and compliance within Azure data solutions. Know various techniques (lakehouse, warehouse) and have experience implementing them. Evaluate and choose appropriate Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks (configuring, costing, etc), Unity Catalog, and Azure Data Factory. Should have deep knowledge and hands-on experience with these Azure Data Services. Ideally, knowledgeable and experienced with Microsoft Fabric. Work closely with business and technical teams to understand and translate data needs into robust, scalable data architecture solutions. Experience with data governance, data privacy, and compliance requirements. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams. Provide expertise and leadership to the development team implementing data engineering solutions. Collaborate with Data Scientists, Analysts, and other stakeholders to ensure data architectures align with business goals and data analysis requirements. Optimize cloud-based data infrastructure for performance, cost-effectiveness, and scalability. Analyze data workloads and recommend optimizations for performance tuning, cost management, and reducing complexity. Monitor and address any issues related to performance and availability in cloud-based data solutions. Experience in programming languages (e.g., SQL, Python, Scala). Hands-on experience using MS SQL Server, Oracle, or similar RDBMS platform. Experience in Azure DevOps, CI/CD pipeline development Hands-on experience working at a high level in architecture, data science, or combination. In-depth understanding of database structure principles Distributed Data Processing of big data batch or streaming pipelines. Familiarity with data visualization tools (e.g., Power BI, Tableau, etc.) Data Modeling and strong analytics skills. The candidate must be able to take OLTP data structures and convert them into Star Schema. Ideally, the candidate should have DBT experience along with data modeling experience. Problem-solving attitude, Highly self‐motivated, self‐directed, and attentive to detail, Ability to prioritize and execute tasks effectively. Attitude and aptitude are highly important at Hitachi; we are a very collaborative group. We would like to see a blend of the following skills. Not all of these are required, however, Databricks and Spark are highly desirable: Azure SQL Data Warehouse Azure Data Factory Azure Data Lake Azure Analysis Services Databricks/Spark Python or Scala (Python preferred) Data Modeling Power BI Database migration from legacy systems to new solutions Design conceptual, logical and physical data models using tools like ER Studio, Erwin Additional Information Beware of scams Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) [email protected] domain email address regarding your application and interview requests. All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.

Responsibilities

Design and implement end-to-end data solutions on Microsoft Azure, ensuring high performance, security, and compliance. Collaborate with business and technical teams to translate data needs into robust, scalable data architecture solutions.