Data Platforms Solutions Architect

We are seeking an experienced Data Platforms Solutions Architect to join our team. This role goes beyond traditional architecture and has a strong emphasis on business development applications of the technology knowledge. As a Solutions Architect you will collaborate with clients and internal teams to design and present tailored data platform solutions custom to various customer opportunities needs.

You will leverage your handson experience with modern data engineering tools paired with your ability to provide strategic insights during presales engagements.

Responsibilities: 

• Drive innovation in Data & AI Business Opportunities: actively contribute to business development by identifying opportunities understanding client needs and proposing innovative data platform solutions based on modern cloud accelerators and frameworks (e.g. Databricks Snowflake Synapse);
• Tailor client focused solutions: partner with sales teams to deliver compelling technical presentations demonstrations and proofs of concept while being able to influence clients strategic decisions by showcasing the value of data engineering and platform architectures tailored to their needs;
• Lead discovery and shape solutions: Drive as a leader the Discovery Workshops with new clients aiming on collecting the business requirements and work with the BA/PO in documenting these requirements;
• Design operationalfit architectures: Carefully analyse all the usecases of the data platform for provided business added value (e.g. pipelines for BI AI driven decisionmaking data mesh selfservice architectures);
• Offer technical advisory: Guide clients through tool selection and best practices in data platform design including pitching the reasoning behind certain choices; pitch the endtoend solution to the internal and endcustomer stakeholders;
• Advance technical expertise: Design and implement scalable secure and highperformance data platforms including data lakes warehouses and integration pipelines;
• Collaborate with crossfunctional teams: partner with stakeholders to align business goals with technology solutions proposing practical models to calculate the Totalcostofownership (TCO);
• Technical leadership: Implement the PoCs associated with the provided highlevel solution designs and lead the midsenior data engineers in transforming the PoC into the Production MVP.

Qualifications :

Must have:

• 7 years of experience in data engineering focusing on data governance data lakes pipelines and ETL/ELT processes;
• 3 years of experience in a Data Platforms Solutions Architect role leading platform design and implementation;
• Expertise in data lake platforms like Databricks Azure Data Lake AWS Lake Formation or Google BigQuery;
• Proficiency in data processing frameworks (Apache Spark Kafka Flink) and orchestration tools (Airflow ADF AWS Step Functions);
• Strong knowledge of security & governance (RBAC encryption GDPR HIPAA compliance) and distributed storage systems (Parquet ORC Delta Lake);
• Experience with cloudnative platforms (AWS Azure GCP) and IaC tools (Terraform CloudFormation or Bicep);
• Proficiency in automation DevOps and observability using tools like DataDog Prometheus or cloudnative monitoring;
• Strong skills in Python SQL or Scala for building data transformations and performanceoptimized models (star snowflake data vault);
• Presales support experience including RFPs technical proposals and business development support;
• Strong communication & leadership skills with the ability to engage technical and nontechnical stakeholders.

Nice to have:

• Experience integrating data lakes with machine learning platforms like TensorFlow PyTorch or cloudbased AI/ML services (e.g. AWS SageMaker Azure ML Google Vertex AI);
• Familiarity with feature stores and their role in operationalizing ML (e.g. Feast Databricks Feature Store);
• Understanding of data modeling data ingestion and ETL/ELT processes tailored for AI/ML use cases;
• A plus are the following certifications: Microsoft Certified: Azure Solutions Architect Expert Google Professional Cloud Architect Databricks Certified Data Engineer Professional Snowflake Advanced Architect Certification Certified AI Practitioner (CAIP).

Additional Information :

At Accesa you can

Enjoy our holistic benefits program that covers the four pillars that we believe come together to support our wellbeing covering social physical emotional wellbeing as well as worklife fusion.

• Physical Wellbeing: Our wellbeing program includes medical benefits gym support and personalised fitness options for an active lifestyle complemented by team events and the Healthy Habits Club.
• WorkLife Fusion: In very dynamic industries such as IT the line between our professional and personal lives can quickly become blurred. Having a onesizefitsone approach gives us the flexibility to define the worklife dynamic that works for us.
• Emotional Wellbeing: We believe that to maintain our overall health we need to invest in our mental wellbeing just as much as we do in our physical health social connections or in achieving worklife balance.
• Social Wellbeing: As a growing community in a hybrid environment we want to ensure we remain connected not just by the great work we do every day but through our passions and interests.

Remote Work :

Yes

Employment Type :

Fulltime