{"id":2374784,"url":"https://alion.io/job/softserve-bigdata-architect-databricks-aws","title":"BigData Architect (Databricks + AWS)","company":{"id":57039,"name":"SoftServe","domain":"softserveinc.com","url":"https://alion.io/company/softserve","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Wrocław, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":64000,"max_usd":111000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Java","optional":false},{"name":"PoC Library","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-12T12:56:57Z","employer_posted_date":null,"last_verified_at":"2026-10-12T12:56:57Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"In this role, you will contribute to designing and implementing scalable data platforms on AWS with a strong focus on the Databricks ecosystem. You will work with both batch and streaming data solutions, collaborate with technical and business stakeholders, and support architecture and delivery activities across the full project lifecycle within a collaborative and innovation-driven environmentZakres obowiązków\nDesign and support implementation of scalable data solutions using Databricks on AWS\nDevelop and maintain batch and streaming data pipelines and Lakehouse architectures\nCollaborate with stakeholders to gather requirements and translate them into technical solutions and implementation plans\nSupport data ingestion activities, including source-to-target mappings and integration of new data sources\nParticipate in architecture discussions and contribute to scaling the data platform and maintaining data models\nWork with orchestration tools such as Databricks Workflows, Apache Airflow, or MWAA to manage workflows\nSupport implementation of real-time data processing solutions using Apache Kafka, Amazon MSK, or Kinesis\nUtilize data warehousing solutions such as Snowflake or Amazon Redshift for analytics and storage\nCreate and maintain technical documentation, data schemas, and solution-related materials\nParticipate in the full project lifecycle, from PoC and MVP stages to production implementation\nExplore new technologies, build prototypes, and contribute to knowledge sharing within the engineering communit\nWymagania\nProven experience designing scalable data platforms and data pipeline architectures\nHands-on experience with batch and streaming data processing solutions\nStrong expertise in AWS cloud services and Databricks platform components, including Delta Lake, Unity Catalog, Workflows, and Jobs\nProficiency in Python, Scala, or Java (preferably Python), along with strong SQL skills\nKnowledge of big data technologies such as Apache Spark or Flink\nExperience with orchestration tools such as Databricks Workflows, Apache Airflow, or MWAA\nPractical experience with streaming technologies such as Apache Kafka, Amazon MSK, or Kinesis\nFamiliarity with data warehousing solutions such as Snowflake or Amazon Redshift\nExperience participating in customer-facing and pre-sales activities, including workshops, architecture discussion\nTech stack\nAWS\nDatabricks","description_format":"text","description_chars":2385,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","Custom Software Development"],"lifecycle":[{"event":"open","at":"2026-10-12T18:21:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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