Analytics Architect

3 weeks ago

Bengaluru, India Ericsson Full time

**About this opportunity**:
As an Architect for Data Analytics, you will Join our highly regarded Architecture team and will be accountable for implementing and maintaining analytics solutions and architectures that are in-line with the organization’s overall strategy in the area of Data, Analytics and AI.

**What you will do **:
**Strategic, Tactical and Operational**:

- Facilitate requirement analysis with Stakeholders for Data Collection, Analytics, & Machine Learning Requirements
- Work with Digital Product Owner to ensure understanding of business requirements in Data Management for the respective functional area
- Responsible for technical solutions in the context of Data Collections, Analytics, & Machine Learning ensuring alignment of data services architecture and architectural principles and to business needs
- Work with Developers and other FA Architects for multi-functional data requirements
- Support with technical lead scrum teams during development.
- Define and design appropriate interfaces for data update, retrieval queries and recommended workflows based on specific data use case
- Accountable for technical documents when needed, e.g. FA or solution level architecture descriptions, SOD (Solution Overview Document), Design Specs.
- Lead prototype activities and technology specialists anticipating features/services to evolve
- Contributing to relevant study/PoC activities for backlog items - End2End responsible for the study results for initiatives aimed for respective area, including value propositions
- Drive and/or Engage in initiatives prioritized by Leadership for PoC/study or implementation relevant to the Data Management Area
- Provide Technical guidance/support and inputs to Platform teams for Capacity Management

**You will bring **:

- Strong prior experience in Data Warehousing and BI, irrespective of technology.
- Knowledge of enterprise architecture concepts and approaches. TOGAF certification desired, though not required.
- Master data management technologies, mapping requirements into technical descriptions, leading all aspects of the development and delivery of functions & solutions for data services
- Strong hands-on prior experience as BI/ETL developer.
- Knowledge in establishing methods and procedures for tracking data sources, data lineage, data quality, completeness, duplication vs. replication, data dictionary, data models, metadata and master data
- Knowledge of database design principles and data administration standards,
- Knowledge of multiple database platforms and design and support tools, including hands-on experience with at least one database platform
- Solid grasp of data governance frameworks
- Good business and market understanding and capable of seeing the big picture. Business Understanding and Requirements Analysis
- Possess Good Accountability & Ownership qualities.
- Able to multi-task/handle parallel work
- Planning & Organizing Skills along with Knowledge and Collaborations Skills.
- Open-minded and flexible
- Ability to work in a distributed and international organization
- Delivering result & meet customer expectation
- Presenting & Communicating Info
- Deciding and initiating actions
- Strong problem-solving capabilities.

**Education / Experience Required (In Years)**

**Software/tools**:
Following experiences and skills are required.
- Cloud Platform e.g. Azure, AWS etc.
- Cloud Native Data Platforms (Snowflake, Databricks)
- .NET Framework
- MS SQL Server
- C#, Python, VB.NET
- Microsoft Power BI
- Manufacturing Business Process and Domain Knowledge
- Supply Business Process and Domain Knowledge
- Data ingestion and provisioning over APIs
- Batch and streaming processing (for instance Apache Spark, Storm) and relevant back-end languages (Python and SQL)
- Software Development including Agile/Scrum, CI/CD, Testing and Configuration Management, GIT/Gerrit

Any of the experiences and skills listed below is a merit, the more the better
- Cloud Agnostic Data Platforms such as Snowflake, Databricks and SAP Data Warehouse Cloud
- Cloud Data Platforms (Azure Synapse Analytics, Amazon Redshift)
- Azure services - Azure Data factory (ADF), Azure Databricks (ADB)
- Authorization methods including Role Based Access Control and Policy Based Access Control.
- RDBMS such Oracle, MS SQL, MariaDB or PostGRE, both row based and columnar based
- BI Tools Such as Tableau, and web-based dashboards & solutions

Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.

Primary country and city: India (IN) || India : Karnataka : Bangalore
Req ID: 738524

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