Azure Data Architect
Remote, Poland
Mobica
Expand your team's software engineering and development capabilities through Talent-as-a-Service, with Mobica.Company Description
Mobica | Be Extraordinary_
We are Mobica, a global software services company headquartered in Manchester, UK, with offices across Europe and the USA. We partner with businesses across multiple industries, from aerospace to finance and semiconductors to automotive, providing them with access to engineering expertise across the entire technology stack.
The Mobica Way
Well-known Clients and Projects focused on the Technologies of Tomorrow - Our expertly crafted software underpins many of today’s amazing customer experiences. We work with well-known global brands to develop widely used tech. When you join us, you'll be both challenged and supported, and you'll be a part of something extraordinary.
Empowered Mobicans driving their Careers - We empower our people to develop their skills, push boundaries and move towards new heights. As a Mobican, you’ll have ample opportunities to advance, learn and grow towards your desired career outcomes.
Ideas are prioritised over Hierarchy and Biases - In Mobica, you are listened to and valued. We’ve built an environment that fosters open communication. We've made it our mission to ensure all team members feel welcome, protected from discrimination and have access to equal opportunities.
We believe that employees should be happy - At Mobica, you can define precisely how you would like to work - at home or in the office - we will create the environment for that. You’ll get access to various virtual, offline and on-site events and platforms where you can learn, brainstorm, challenge, express yourself or simply have some fun and make new friends.
Job Description
As Azure Data Architect You will be delivering a high quality and innovative data driven solution to our client’s advance analytical needs. This will include, working within a team on the clients site: understanding the client’s pain, designing an analytical approach, implementing a solution, ensuring it is of high quality, and leading and mentoring multi discipline technology teams
Your Key Result Areas:
- You will be a part of experienced onsite consulting/delivery teams developing & providing architectures for a highly resilient, fault tolerant, horizontally scalable data platform.
- Will build multiple layers within the platform around Data Ingestion, Integration, Metadata Management, Data security and data presentation
- Working with the client Architects to refine ideas on the Analytics Architecture and help with standards and guidelines.
- Building a Data Engineering community and helping customers/clients to build centre of excellence for engineering.
- Ensuring development teams deliver the highest quality data products through the adoption and continuous improvement of patterns and practices, tools and frameworks and processes.
- Applying years of experience and expertise to help teams resolve and overcome technical challenges of any size or complexity and assist where necessary to accelerate problem resolution.
Qualifications
Must have:
- You will be a skilled Architect helping customer teams to design, strategize and build the data foundations to drive Analytics business use cases on Azure.
- You will engineer and orchestrate data flows & pipelines in a cloud environment using a progressive tech stack e.g. ADF, Databricks, Spark, Python, PySpark, Synapse, Delta Lake, SQL, Logic Apps, Azure Functions, ADLS
- Strong experience in building data transformation techniques using Spark and DataBricks.
- You will design the architecture to Ingest and integrate data from a large number of disparate data sources
- You will design and build complex data processing solutions both in batch & real time use cases. Knowledge in Kafka/Spark is a value add but experience in EventHub/Stream Analytics is needed for designing real time solution.
- You will work closely with analysts, data scientists and technology partners to understand their requirements
- You will exercise fluid communication with your team of data engineers and analysts
- You will enthusiastically evolve your technical skillset, engage in training, and learn new technologies and techniques
- You will work comfortably in an agile and fast paced environment.
- Able to compare between best of technologies by layer – e.g., stream processing, messaging, search, etc.
- Comes with strong experience in delivering Data Solutions using Big-Data technologies and cloud platforms
- Suggest the architecture which incorporates Security controls around authentication, authorizations, and encryption
- Recommend the migration tools and design data migration strategy
- Design and implement Metadata management and data catalogs process on top of the built Azure Data Platform
Nice to have:
- Experience in Architecting multi cloud solutions
- Experience in delivering big data solutions using a leading Hadoop distribution like Cloudera, Snowflake Knowledge of RDBMS, ETL and Data warehouse technologies
Additional Information
What you can expect from us?
- Learning by doing – you will work with industry experts who are willing to share their knowledge and experience
- Improving your skills by participating in training and mentoring programs
- Advancing your career by choosing from different career paths (technical, management)
- Broadening your horizons by working in an open and supportive multicultural environment
- Commercial projects from the domain
- Great atmosphere and supportive environment
- Working in a friendly and relaxed atmosphere created by a lot of bonding events and activities
What do we offer?
- Competitive salary adequate to your skills and performance
- Flexible working hours
- Training programs
- Private medical insurance
- Multisport program
- English lessons
- Company social events
- Weekly cakes and fruits
- Relocation assistance
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Big Data Consulting Databricks Data warehouse Engineering ETL Finance Hadoop Kafka Pipelines PySpark Python RDBMS Security Snowflake Spark SQL
Perks/benefits: Career development Competitive pay Flex hours Health care Relocation support Team events
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