Big Data Solutions Architect
1 miesiąc temu
Job Summary:
Data Solutions Architects play a key role in designing and delivering advanced data architectures and analytics solutions. Focused on both cloud and on-premise environments, this role ensures robust data management and security. You will lead architectural sessions, create proof-of-concepts, and collaborate with clients to build scalable, secure data ecosystems that align with their business goals.
Work Conditions and Onboarding:
Onboarding in Georgia (Tbilisi): During the first 3 months, onboarding will include approximately 50% of the time spent on-site in Tbilisi.
After onboarding, a hybrid work model with 1 week per month working from the office in Georgia (Tbilisi).
We provide accommodation, travel expenses, and a daily allowance during your stay.
If someone wishes to bring their family along, we are open to considering that option.
Key Responsibilities:
Customer Engagement
Serve as the lead technical expert, gathering client requirements for data architecture, analytics, and security.
Build strong relationships with technical stakeholders, advising on data strategy and governance.
Design tailored data solutions that leverage modern technologies and best practices.
Support customers in enhancing skills in areas like big data, governance, and analytics.
Business Impact
Architect scalable data platforms for evolving needs in analytics, reporting, and security.
Utilize expertise in data lakes, warehouses, and real-time analytics to drive business value.
Design compliant, secure data architectures to safeguard customer data.
Address risks related to data governance and quality, providing strategic solutions.
Technical Leadership
Stay updated on cutting-edge data technologies, particularly cloud platforms and data security.
Mentor team members in data architecture and integration techniques.
Engage in technical communities, sharing insights on modern data practices.
Contribute to developing reusable assets and improving internal processes.
Technical Experience
Expertise in designing data lakes, warehouses, and governance frameworks.
Strong experience with cloud data platforms (Azure, AWS, Google Cloud) and big data technologies (Hadoop, Spark, Kafka).
Skilled in secure data environments, including encryption and compliance (e.g., GDPR).
Experience with data visualization tools (Power BI, Tableau) and advanced analytics (machine learning).
Qualifications
Bachelor’s in Computer Science, Data Science, or related field.
5+ years in large-scale data architecture, analytics, and security solutions.
Proven ability to collaborate with senior IT stakeholders on data strategy and governance.
Experience leading cloud migrations and data modernization initiatives.
Excellent communication skills for leading technical discussions and influencing decisions.
Certifications
Required : Azure Data Engineer Associate, AWS Big Data Specialty, or equivalent.
Preferred : CDMP, Google Professional Data Engineer, AWS Solutions Architect.
We offer:
Collaboration in a team of interdisciplinary experts and technology enthusiasts inspired by working in a flat hierarchy;
Permanent full-time cooperation in an extraordinary company that has been growing rapidly for 20 years;
A chance to grow in a variety of IT projects for very well-known and recognizable clients-leaders in their industries;
Opportunity to work with the latest technologies based on the highest development standards;
⌚️ Flexible time and hybrid or fully remote working model (different teams have different arrangements, we do not impose any options);
☁ A number of initiatives to support knowledge sharing and development, such as: internal training, topic guilds, Cloud training and certification opportunities (technology partnerships in the four clouds);
Opportunities to learn English or German online and team English lessons;
️♂️ Opportunity to join Multisport and medical insurance;
⛵️ Maritime adventures – with us you will sail in the Caribbean, Mediterranean or North Sea (participation in company cruises is subsidized by the company).
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