{"id":1292837,"url":"https://alion.io/job/ajni-consulting-data-engineering-architect","title":"Data Engineering Architect","company":{"id":3801621,"name":"Ajni Consulting","domain":"prometheusconsulting.in","url":"https://alion.io/company/ajni-consulting","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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, 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Kafka","optional":true},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-08-11T10:31:52Z","employer_posted_date":null,"last_verified_at":"2026-08-11T10:31:52Z","board_verified":false,"closed_at":null,"days_open":47,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":47},"description":"Experience : \n\n- 6+ years of experience in data engineering, data warehousing, or big data platforms.\n\n- Proven experience in AWS cloud ecosystem (S3, Glue, EMR, Lambda, Redshift, Athena).\n\n- Strong hands-on expertise with Apache Spark (Core, SQL, Streaming) and PySpark.\n\n- Practical knowledge of Databricks for collaborative data engineering and ML workflows.\n\n- Proficiency in Snowflake for data warehousing and analytics use cases.\n\n- Strong programming skills in Python and SQL.\n\n- Expertise in data modeling, ETL/ELT pipeline design, and data warehousing concepts.\n\n- Experience with distributed and real-time processing frameworks like Flink.\n\n- Exposure to at least one BI tool (Tableau, Power BI, or QuickSight).\n\n- Domain understanding in BFSI/ Fintech (preferred).\n\n- Preferred experience in working with either Snowflake or Databricks.\n\n- Prior experience in designing and implementing at least 2+ large-scale production data migration or modernization projects.\n\n- Industry knowledge in Retail, Logistics, FSI, or Manufacturing would be an added advantage.\n\nRoles & Responsibilities : \n\n- Design and architect scalable, secure, and performant big data solutions using AWS, Snowflake, or Databricks.\n\n- Strong understanding of performance tuning, cost optimization, and pipeline monitoring for reliable production workloads.\n\n- Partner with business leaders, product managers, and clients to translate business objectives into technical data solutions.\n\n- Establish and enforce coding standards, architecture guidelines, and design patterns across projects.\n\n- Lead and mentor a team of data engineers and analysts, promoting best practices in data design and engineering.\n\n- Conduct code and architecture reviews, ensuring high-quality deliverables and adherence to technical standards.\n\n- Collaborate with cross-functional teams to ensure seamless data delivery and alignment with business goals.\n\nKey Skills : \n\n- Technologies : AWS, Snowflake, Databricks, Spark, Python, SQL, Airflow, Kafka.\n\n- Frameworks : Spark Core, Spark SQL, Spark Streaming/Flink.\n\n- Soft Skills : Leadership, stakeholder management, Team Management, communication, problem-solving, decision-making.\nSkills\nData Engineering, Data Architect, Data Warehousing, Azure Databricks, Snowflake DB, AWS, PySpark, Python, SQL, 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